diff --git "a/sandbox/20240310 - CQA - Semantic Routing 1.ipynb" "b/sandbox/20240310 - CQA - Semantic Routing 1.ipynb" --- "a/sandbox/20240310 - CQA - Semantic Routing 1.ipynb" +++ "b/sandbox/20240310 - CQA - Semantic Routing 1.ipynb" @@ -53,28 +53,40 @@ "outputs": [], "source": [ "from climateqa.engine.llm import get_llm\n", - "llm = get_llm(provider=\"openai\")" + "from climateqa.engine.llm.ollama import get_llm as get_llm_ollama\n", + "\n", + "llm = get_llm(provider=\"openai\")\n", + "# llm = get_llm_ollama(model = \"llama3\")" ] }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 3, "id": "a9128bfc-4b24-4b25-b7a7-68423b1124b1", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/theolvs/.local/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Auto-updated model_name to rerank-english-v3.0 for API provider cohere\n", - "Loading APIRanker model rerank-english-v3.0\n" + "Loading FlashRankRanker model ms-marco-TinyBERT-L-2-v2\n", + "Loading model FlashRank model ms-marco-TinyBERT-L-2-v2...\n" ] } ], "source": [ "from climateqa.engine.reranker import get_reranker\n", "\n", - "reranker = get_reranker(\"large\")\n", + "# reranker = get_reranker(\"large\")\n", + "reranker = get_reranker(\"nano\")\n", "# from rerankers import Reranker\n", "# # Specific flashrank model.\n", "# # reranker = Reranker('ms-marco-TinyBERT-L-2-v2', model_type='flashrank')\n", @@ -87,17 +99,10 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 4, "id": "942d2705-22dd-46cf-8c31-6daa127e4743", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: BAAI/bge-base-en-v1.5\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -109,14 +114,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: cuda\n" + "INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: BAAI/bge-base-en-v1.5\n", + "INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: cuda\n", + "/home/theolvs/miniconda3/envs/climateqa/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `Pinecone` was deprecated in LangChain 0.0.18 and will be removed in 0.2.0. An updated version of the class exists in the langchain-pinecone package and should be used instead. To use it run `pip install -U langchain-pinecone` and import as `from langchain_pinecone import Pinecone`.\n", + " warn_deprecated(\n" ] } ], "source": [ "from climateqa.engine.vectorstore import get_pinecone_vectorstore\n", "from climateqa.engine.embeddings import get_embeddings_function\n", - "from climateqa.engine.retriever import ClimateQARetriever\n", + "from climateqa.knowledge.retriever import ClimateQARetriever\n", "\n", "embeddings_function = get_embeddings_function()\n", "vectorstore = get_pinecone_vectorstore(embeddings_function)" @@ -156,40 +164,38 @@ { "cell_type": "markdown", "id": "16eb91cb-3bfb-4c0c-b29e-753c954c2399", - "metadata": { - "jp-MarkdownHeadingCollapsed": true - }, + "metadata": {}, "source": [ "# Semantic Routing" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 7, "id": "1e769371-1f8c-4f34-89c5-c0f9914d47a0", "metadata": { "tags": [] }, "outputs": [], "source": [ - "from climateqa.engine.chains.intent_routing import make_intent_router_chain" + "from climateqa.engine.chains.intent_categorization import make_intent_categorization_chain" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 8, "id": "480ad611-33c7-49ea-b02c-94d6ce1f1d1a", "metadata": { "tags": [] }, "outputs": [], "source": [ - "router_chain = make_intent_router_chain(llm)" + "cat_chain = make_intent_categorization_chain(llm)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 9, "id": "82cf49d9-d48e-4d5c-8666-bcc95f637371", "metadata": { "tags": [] @@ -206,25 +212,1209 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 10, "id": "d8ef7e0f-ac5f-4323-b02e-753ce2b4afda", "metadata": { "tags": [] }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n" + ] + }, { "data": { "text/plain": [ "{'intent': 'search'}" ] }, - "execution_count": 6, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "router_chain.invoke({\"input\":\"Which industries have the highest GHG emissions?\"})" + "cat_chain.invoke({\"input\":\"Which industries have the highest GHG emissions?\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "a9c89f2d-c597-47b8-ae50-75eda964e609", + "metadata": {}, + "outputs": [], + "source": [ + "from climateqa.knowledge.openalex import OpenAlexRetriever\n", + "from climateqa.engine.chains.keywords_extraction import make_keywords_extraction_chain" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "0c609d34-5767-47a6-90a4-d5987e9499ee", + "metadata": {}, + "outputs": [], + "source": [ + "kec = make_keywords_extraction_chain(llm)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "5d781cd4-228b-462f-bd0e-55c02084a616", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n" + ] + } + ], + "source": [ + "output = kec.invoke(\"What is the environmental footprint of artificial intelligence\")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "553fd4d4-fe5a-4050-ae31-dffa2c7af7b2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'keywords': ['environmental footprint', 'artificial intelligence']}" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "output" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "50a57f08-40e5-4419-8568-0739a13af904", + "metadata": {}, + "outputs": [], + "source": [ + "ROUTING_INDEX = {\n", + " \"Vector\":[\"IPCC\",\"IPBES\",\"IPOS\"],\n", + " \"OpenAlex\":[\"OpenAlex\"],\n", + "}\n", + "\n", + "POSSIBLE_SOURCES = [y for values in ROUTING_INDEX.values() for y in values]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "6b45dd9c-58c3-4204-bf44-7b9eb35dcb9d", + "metadata": {}, + "outputs": [], + "source": [ + "questions = [\n", + " {\"question\":\"What is climate change ?\",\"sources\":[\"IPCC\",\"IPBES\"]},\n", + " {\"question\":\"What is the link between El Nino and climate change ?\",\"sources\":[\"IPCC\",\"OpenAlex\"]},\n", + "]\n", + "\n", + "state = {\"remaining_questions\":questions,\"auto_mode\":False,\"sources_input\":[\"OpenAlex\"]}" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "90b02a8e-6e67-4592-8bc7-959b544e914b", + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'climateqa.engine.chains.search'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[17], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mclimateqa\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mengine\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mchains\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01msearch\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m make_search_node\n\u001b[1;32m 3\u001b[0m start_search \u001b[38;5;241m=\u001b[39m make_search_node()\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'climateqa.engine.chains.search'" + ] + } + ], + "source": [ + "from climateqa.engine.chains.search import make_search_node\n", + "\n", + "start_search = make_search_node()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "347737d8-c4cb-45a7-9e5d-74d1a2e3f5a2", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'start_search' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[18], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m state\u001b[38;5;241m.\u001b[39mupdate(\u001b[43mstart_search\u001b[49m(state))\n\u001b[1;32m 2\u001b[0m state\n", + "\u001b[0;31mNameError\u001b[0m: name 'start_search' is not defined" + ] + } + ], + "source": [ + "state.update(start_search(state))\n", + "state" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "id": "a27425de-1297-417a-af02-fba270df8e38", + "metadata": {}, + "outputs": [], + "source": [ + "from climateqa.engine.chains.retrieve_documents import make_retriever_node" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "id": "fde71c99-8bdd-4fd5-b36e-6804ec21bf2c", + "metadata": {}, + "outputs": [], + "source": [ + "retrieve = make_retriever_node(vectorstore,reranker,llm)" + ] + }, + { + "cell_type": "code", + "execution_count": 179, + "id": "cdad5b2f-2103-43d6-9d7f-e2addc2c2c3f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "... OpenAlex query: climate change\n" + ] + } + ], + "source": [ + "new_state = await retrieve.ainvoke(state)" + ] + }, + { + "cell_type": "code", + "execution_count": 183, + "id": "751a9a6a-8271-4e89-8754-e2065cd7d737", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "7" + ] + }, + "execution_count": 183, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(new_state[\"documents\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 182, + "id": "06db606d-0b04-4e7d-9f55-4f7cefbce654", + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'Document' object is not subscriptable", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[182], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mnew_state\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mdocuments\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mreranking_score\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\n", + "\u001b[0;31mTypeError\u001b[0m: 'Document' object is not subscriptable" + ] + } + ], + "source": [ + "new_state[\"documents\"][1][\"reranking_score\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "a5ed23f9-bbbe-4a0b-b919-429e08837765", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'IPCC'}" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "set([\"IPCC\",\"OpenAlex\"]).intersection(set([\"IPCC\",\"IPBES\",\"IPOS\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "ca801dc5-958b-4392-88ac-5cb69e5f6fab", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'question': \"C'est quoi le réchauffement?\",\n", + " 'sources': ['IPCC', 'IPBES'],\n", + " 'index': 'Vector'},\n", + " {'question': \"C'est quoi le réchauffement?\",\n", + " 'sources': ['OpenAlex'],\n", + " 'index': 'OpenAlex'},\n", + " {'question': \"C'est quoi le YOO?\", 'sources': ['IPBES'], 'index': 'Vector'},\n", + " {'question': \"C'est quoi le YOO?\",\n", + " 'sources': ['OpenAlex'],\n", + " 'index': 'OpenAlex'}]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_questions = []\n", + "\n", + "for q in questions:\n", + " question,sources = q[\"question\"],q[\"sources\"]\n", + "\n", + " for index,index_sources in ROUTING_INDEX.items():\n", + " selected_sources = list(set(sources).intersection(index_sources))\n", + " new_questions.append({\"question\":question,\"sources\":selected_sources,\"index\":index})\n", + "\n", + "new_questions" + ] + }, + { + "cell_type": "code", + "execution_count": 199, + "id": "6091ada7-851c-4ffc-859e-ea33a6fbb310", + "metadata": {}, + "outputs": [], + "source": [ + "oa = OpenAlex()" + ] + }, + { + "cell_type": "code", + "execution_count": 216, + "id": "8c5771bb-9074-45e0-afdb-f9eda2cb5ad4", + "metadata": {}, + "outputs": [], + "source": [ + "test = oa.search(\"warming AND impoverished communities\")" + ] + }, + { + "cell_type": "code", + "execution_count": 217, + "id": "5ef2094a-2e98-4ed9-b0a6-7536ae8057ca", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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iddoititledisplay_namerelevance_scorepublication_yearpublication_dateidslanguageprimary_location...cited_by_api_urlcounts_by_yearupdated_datecreated_dateabstractis_oapdf_urlurlcontentnum_tokens
0https://openalex.org/W2117777590https://doi.org/10.1111/j.1523-1739.1990.tb002...The Onslaught of Alien Species, and Other Chal...The Onslaught of Alien Species, and Other Chal...155.60701019901990-09-01{'openalex': 'https://openalex.org/W2117777590...en{'is_oa': False, 'landing_page_url': 'https://......https://api.openalex.org/works?filter=cites:W2...[{'year': 2024, 'cited_by_count': 1}, {'year':...2024-07-01T21:42:17.5926812016-06-24Abstract: Among the many environmental challen...FalseNonehttps://openalex.org/W2117777590The Onslaught of Alien Species, and Other Chal...231
1https://openalex.org/W2057596265https://doi.org/10.1016/j.bjid.2014.11.004Impact of human schistosomiasis in sub-Saharan...Impact of human schistosomiasis in sub-Saharan...136.45924020152015-03-01{'openalex': 'https://openalex.org/W2057596265...en{'is_oa': True, 'landing_page_url': 'https://d......https://api.openalex.org/works?filter=cites:W2...[{'year': 2024, 'cited_by_count': 18}, {'year'...2024-06-26T01:44:20.8317262016-06-24Schistosomiasis, a neglected tropical disease ...TrueNonehttps://openalex.org/W2057596265Impact of human schistosomiasis in sub-Saharan...385
2https://openalex.org/W2094131597https://doi.org/10.1111/j.1472-4642.2010.00637.xHalf a century of succession in a temperate oa...Half a century of succession in a temperate oa...129.60660020102010-02-21{'openalex': 'https://openalex.org/W2094131597...en{'is_oa': True, 'landing_page_url': 'https://d......https://api.openalex.org/works?filter=cites:W2...[{'year': 2024, 'cited_by_count': 8}, {'year':...2024-07-01T13:42:04.9868772016-06-24Abstract Aim Lowland woodlands in Europe went ...Truehttps://onlinelibrary.wiley.com/doi/pdfdirect/...https://openalex.org/W2094131597Half a century of succession in a temperate oa...394
3https://openalex.org/W2042539814https://doi.org/10.1080/0028825x.1964.10428748Facets of the distribution of forest vegetatio...Facets of the distribution of forest vegetatio...100.42501019641964-12-01{'openalex': 'https://openalex.org/W2042539814...en{'is_oa': True, 'landing_page_url': 'https://d......https://api.openalex.org/works?filter=cites:W2...[{'year': 2024, 'cited_by_count': 2}, {'year':...2024-06-26T19:33:50.8444632016-06-24Summary The altitudinal sequences of vegetatio...Truehttps://www.tandfonline.com/doi/pdf/10.1080/00...https://openalex.org/W2042539814Facets of the distribution of forest vegetatio...463
4https://openalex.org/W1982291004https://doi.org/10.1016/j.jhevol.2010.04.002The Early–Middle Pleistocene environmental and...The Early–Middle Pleistocene environmental and...97.53789520112011-04-01{'openalex': 'https://openalex.org/W1982291004...en{'is_oa': False, 'landing_page_url': 'https://......https://api.openalex.org/works?filter=cites:W1...[{'year': 2024, 'cited_by_count': 3}, {'year':...2024-07-01T20:12:53.4095762016-06-24The dispersal of hominins may have been favore...TrueNonehttps://openalex.org/W1982291004The Early–Middle Pleistocene environmental and...312
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Controlled laboratory experiments have resolved, in detail, the different nucleation pathways likely responsible for atmospheric new particle formation, yet very little is known from field studies about the molecular steps and compounds involved in different regions of the atmosphere. The scarcity of primary particle sources makes secondary aerosol formation particularly important in the Antarctic atmosphere. Here, we report on the observation of ion-induced nucleation of sulfuric acid and ammonia-a process experimentally investigated by the CERN CLOUD experiment-as a major source of secondary aerosol particles over coastal Antarctica. We further show that measured high sulfuric acid concentrations, exceeding 107 molecules cm-3, are sufficient to explain the observed new particle growth rates. Our findings show that ion-induced nucleation is the dominant particle formation mechanism, implying that galactic cosmic radiation plays a key role in new particle formation in the pristine Antarctic atmosphere.\", metadata={'id': 'https://openalex.org/W2902694464', 'doi': 'https://doi.org/10.1126/sciadv.aat9744', 'title': 'Ion-induced sulfuric acid–ammonia nucleation drives particle formation in coastal Antarctica', 'display_name': 'Ion-induced sulfuric acid–ammonia nucleation drives particle formation in coastal Antarctica', 'relevance_score': 174.29054, 'publication_year': 2018, 'publication_date': '2018-11-02', 'ids': {'openalex': 'https://openalex.org/W2902694464', 'doi': 'https://doi.org/10.1126/sciadv.aat9744', 'mag': '2902694464', 'pmid': 'https://pubmed.ncbi.nlm.nih.gov/30498779', 'pmcid': 'https://www.ncbi.nlm.nih.gov/pmc/articles/6261657'}, 'language': 'en', 'primary_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1126/sciadv.aat9744', 'pdf_url': 'https://advances.sciencemag.org/content/advances/4/11/eaat9744.full.pdf', 'source': {'id': 'https://openalex.org/S2737427234', 'display_name': 'Science advances', 'issn_l': '2375-2548', 'issn': ['2375-2548'], 'is_oa': True, 'is_in_doaj': True, 'is_core': True, 'host_organization': 'https://openalex.org/P4310315823', 'host_organization_name': 'American Association for the Advancement of Science', 'host_organization_lineage': ['https://openalex.org/P4310315823'], 'host_organization_lineage_names': ['American Association for the Advancement of Science'], 'type': 'journal'}, 'license': 'cc-by-nc', 'license_id': 'https://openalex.org/licenses/cc-by-nc', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref', 'pubmed'], 'open_access': {'is_oa': True, 'oa_status': 'gold', 'oa_url': 'https://advances.sciencemag.org/content/advances/4/11/eaat9744.full.pdf', 'any_repository_has_fulltext': True}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5043850385', 'display_name': 'Tuija Jokinen', 'orcid': 'https://orcid.org/0000-0002-1280-1396'}, 'institutions': [{'id': 'https://openalex.org/I133731052', 'display_name': 'University of Helsinki', 'ror': 'https://ror.org/040af2s02', 'country_code': 'FI', 'type': 'education', 'lineage': ['https://openalex.org/I133731052']}], 'countries': ['FI'], 'is_corresponding': True, 'raw_author_name': 'T. Jokinen', 'raw_affiliation_strings': ['INAR–Institute for Atmospheric and Earth System Research, P.O. Box 64, 00014 University of Helsinki, Finland.'], 'affiliations': [{'raw_affiliation_string': 'INAR–Institute for Atmospheric and Earth System Research, P.O. Box 64, 00014 University of Helsinki, Finland.', 'institution_ids': ['https://openalex.org/I133731052']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5049530714', 'display_name': 'Mikko Sipilä', 'orcid': 'https://orcid.org/0000-0002-8594-7003'}, 'institutions': [{'id': 'https://openalex.org/I133731052', 'display_name': 'University of Helsinki', 'ror': 'https://ror.org/040af2s02', 'country_code': 'FI', 'type': 'education', 'lineage': ['https://openalex.org/I133731052']}], 'countries': ['FI'], 'is_corresponding': False, 'raw_author_name': 'M. Sipilä', 'raw_affiliation_strings': ['INAR–Institute for Atmospheric and Earth System Research, P.O. Box 64, 00014 University of Helsinki, Finland.'], 'affiliations': [{'raw_affiliation_string': 'INAR–Institute for Atmospheric and Earth System Research, P.O. Box 64, 00014 University of Helsinki, Finland.', 'institution_ids': ['https://openalex.org/I133731052']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5041077752', 'display_name': 'Jenni Kontkanen', 'orcid': 'https://orcid.org/0000-0002-5373-3537'}, 'institutions': [{'id': 'https://openalex.org/I133731052', 'display_name': 'University of Helsinki', 'ror': 'https://ror.org/040af2s02', 'country_code': 'FI', 'type': 'education', 'lineage': ['https://openalex.org/I133731052']}], 'countries': ['FI'], 'is_corresponding': False, 'raw_author_name': 'J. Kontkanen', 'raw_affiliation_strings': ['INAR–Institute for Atmospheric and Earth System Research, P.O. Box 64, 00014 University of Helsinki, Finland.'], 'affiliations': [{'raw_affiliation_string': 'INAR–Institute for Atmospheric and Earth System Research, P.O. Box 64, 00014 University of Helsinki, Finland.', 'institution_ids': ['https://openalex.org/I133731052']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5067947954', 'display_name': 'Ville Vakkari', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I1285790362', 'display_name': 'Finnish Meteorological Institute', 'ror': 'https://ror.org/05hppb561', 'country_code': 'FI', 'type': 'government', 'lineage': ['https://openalex.org/I1284112523', 'https://openalex.org/I1285790362']}], 'countries': ['FI'], 'is_corresponding': False, 'raw_author_name': 'V. Vakkari', 'raw_affiliation_strings': ['Finnish Meteorological Institute, Erik Palménin aukio 1, 00560 Helsinki, Finland.'], 'affiliations': [{'raw_affiliation_string': 'Finnish Meteorological Institute, Erik Palménin aukio 1, 00560 Helsinki, Finland.', 'institution_ids': ['https://openalex.org/I1285790362']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5004260866', 'display_name': 'Priit Tisler', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I1285790362', 'display_name': 'Finnish Meteorological Institute', 'ror': 'https://ror.org/05hppb561', 'country_code': 'FI', 'type': 'government', 'lineage': ['https://openalex.org/I1284112523', 'https://openalex.org/I1285790362']}], 'countries': ['FI'], 'is_corresponding': False, 'raw_author_name': 'P. Tisler', 'raw_affiliation_strings': ['Finnish Meteorological Institute, Erik Palménin aukio 1, 00560 Helsinki, Finland.'], 'affiliations': [{'raw_affiliation_string': 'Finnish Meteorological Institute, Erik Palménin aukio 1, 00560 Helsinki, Finland.', 'institution_ids': ['https://openalex.org/I1285790362']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5039058816', 'display_name': 'Ella‐Maria Duplissy', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I133731052', 'display_name': 'University of Helsinki', 'ror': 'https://ror.org/040af2s02', 'country_code': 'FI', 'type': 'education', 'lineage': ['https://openalex.org/I133731052']}], 'countries': ['FI'], 'is_corresponding': False, 'raw_author_name': 'E.-M. Duplissy', 'raw_affiliation_strings': ['INAR–Institute for Atmospheric and Earth System Research, P.O. Box 64, 00014 University of Helsinki, Finland.'], 'affiliations': [{'raw_affiliation_string': 'INAR–Institute for Atmospheric and Earth System Research, P.O. Box 64, 00014 University of Helsinki, Finland.', 'institution_ids': ['https://openalex.org/I133731052']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5076912331', 'display_name': 'Heikki Junninen', 'orcid': 'https://orcid.org/0000-0001-7178-9430'}, 'institutions': [{'id': 'https://openalex.org/I133731052', 'display_name': 'University of Helsinki', 'ror': 'https://ror.org/040af2s02', 'country_code': 'FI', 'type': 'education', 'lineage': ['https://openalex.org/I133731052']}, {'id': 'https://openalex.org/I56085075', 'display_name': 'University of Tartu', 'ror': 'https://ror.org/03z77qz90', 'country_code': 'EE', 'type': 'education', 'lineage': ['https://openalex.org/I56085075']}], 'countries': ['EE', 'FI'], 'is_corresponding': False, 'raw_author_name': 'H. 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'created_date': '2018-12-11', 'is_authors_truncated': nan, 'abstract': \"Formation of new aerosol particles from trace gases is a major source of cloud condensation nuclei (CCN) in the global atmosphere, with potentially large effects on cloud optical properties and Earth's radiative balance. Controlled laboratory experiments have resolved, in detail, the different nucleation pathways likely responsible for atmospheric new particle formation, yet very little is known from field studies about the molecular steps and compounds involved in different regions of the atmosphere. The scarcity of primary particle sources makes secondary aerosol formation particularly important in the Antarctic atmosphere. Here, we report on the observation of ion-induced nucleation of sulfuric acid and ammonia-a process experimentally investigated by the CERN CLOUD experiment-as a major source of secondary aerosol particles over coastal Antarctica. We further show that measured high sulfuric acid concentrations, exceeding 107 molecules cm-3, are sufficient to explain the observed new particle growth rates. Our findings show that ion-induced nucleation is the dominant particle formation mechanism, implying that galactic cosmic radiation plays a key role in new particle formation in the pristine Antarctic atmosphere.\", 'is_oa': True, 'pdf_url': 'https://advances.sciencemag.org/content/advances/4/11/eaat9744.full.pdf', 'url': 'https://openalex.org/W2902694464', 'content': \"Ion-induced sulfuric acid–ammonia nucleation drives particle formation in coastal Antarctica\\nFormation of new aerosol particles from trace gases is a major source of cloud condensation nuclei (CCN) in the global atmosphere, with potentially large effects on cloud optical properties and Earth's radiative balance. Controlled laboratory experiments have resolved, in detail, the different nucleation pathways likely responsible for atmospheric new particle formation, yet very little is known from field studies about the molecular steps and compounds involved in different regions of the atmosphere. The scarcity of primary particle sources makes secondary aerosol formation particularly important in the Antarctic atmosphere. Here, we report on the observation of ion-induced nucleation of sulfuric acid and ammonia-a process experimentally investigated by the CERN CLOUD experiment-as a major source of secondary aerosol particles over coastal Antarctica. We further show that measured high sulfuric acid concentrations, exceeding 107 molecules cm-3, are sufficient to explain the observed new particle growth rates. Our findings show that ion-induced nucleation is the dominant particle formation mechanism, implying that galactic cosmic radiation plays a key role in new particle formation in the pristine Antarctic atmosphere.\", 'num_tokens': 230})" + ] + }, + "execution_count": 234, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "docs[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 220, + "id": "b27c6f48-f4d3-4525-aa1d-8c3c52eb2179", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'id': 'https://openalex.org/W2117777590',\n", + " 'doi': 'https://doi.org/10.1111/j.1523-1739.1990.tb00283.x',\n", + " 'title': 'The Onslaught of Alien Species, and Other Challenges in the Coming Decades *',\n", + " 'display_name': 'The Onslaught of Alien Species, and Other Challenges in the Coming Decades *',\n", + " 'relevance_score': 155.60701,\n", + " 'publication_year': 1990,\n", + " 'publication_date': '1990-09-01',\n", + " 'ids': {'openalex': 'https://openalex.org/W2117777590',\n", + " 'doi': 'https://doi.org/10.1111/j.1523-1739.1990.tb00283.x',\n", + " 'mag': '2117777590'},\n", + " 'language': 'en',\n", + " 'primary_location': {'is_oa': False,\n", + " 'landing_page_url': 'https://doi.org/10.1111/j.1523-1739.1990.tb00283.x',\n", + " 'pdf_url': None,\n", + " 'source': {'id': 'https://openalex.org/S98137347',\n", + " 'display_name': 'Conservation biology',\n", + " 'issn_l': '0888-8892',\n", + " 'issn': ['0888-8892', '1523-1739'],\n", + " 'is_oa': False,\n", + " 'is_in_doaj': False,\n", + " 'is_core': True,\n", + " 'host_organization': 'https://openalex.org/P4310320503',\n", + " 'host_organization_name': 'Wiley-Blackwell',\n", + " 'host_organization_lineage': ['https://openalex.org/P4310320503',\n", + " 'https://openalex.org/P4310320595'],\n", + " 'host_organization_lineage_names': ['Wiley-Blackwell', 'Wiley'],\n", + " 'type': 'journal'},\n", + " 'license': None,\n", + " 'license_id': None,\n", + " 'version': None,\n", + " 'is_accepted': False,\n", + " 'is_published': False},\n", + " 'type': 'article',\n", + " 'type_crossref': 'journal-article',\n", + " 'indexed_in': ['crossref'],\n", + " 'open_access': {'is_oa': False,\n", + " 'oa_status': 'closed',\n", + " 'oa_url': None,\n", + " 'any_repository_has_fulltext': False},\n", + " 'authorships': [{'author_position': 'first',\n", + " 'author': {'id': 'https://openalex.org/A5002662609',\n", + " 'display_name': 'Michael E. 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Although these invasions will homogenize and impoverish the world's biota, they will lead to a deeper understanding of ecological communities. One consequence of the current biotic interchange is that the public's use of the outdoors will continue to decline as new and alien pathogens and parasites, their distributions and survival enhanced by climate warming and other anthropogenic factors, reduce the safety and enjoyment of hunting fishing and hiking. The forthcoming and massive ecological disruptions are bound to produce misunderstanding and conflict among environmentalists. Attempts by conservation biologists to manage wild and feral animals, including vector species, will be blocked by animal's rights groups. Even within the conservation biology movement there are many real and potential conflicts, especially over turf and resources. Such conflicts are a serious threat to biological diversity. Tolerance and compromise are essential if conservation biology is to accomplish its mission.\",\n", + " 'is_oa': False,\n", + " 'pdf_url': None,\n", + " 'url': 'https://openalex.org/W2117777590',\n", + " 'content': \"The Onslaught of Alien Species, and Other Challenges in the Coming Decades *\\nAbstract: Among the many environmental challenges faced by conservation scientists and managers in the coming decades, the inexorable invasion of alien species from distant land masses and between heretofore isolated regions within continents may be the most revolutionary. Although these invasions will homogenize and impoverish the world's biota, they will lead to a deeper understanding of ecological communities. One consequence of the current biotic interchange is that the public's use of the outdoors will continue to decline as new and alien pathogens and parasites, their distributions and survival enhanced by climate warming and other anthropogenic factors, reduce the safety and enjoyment of hunting fishing and hiking. The forthcoming and massive ecological disruptions are bound to produce misunderstanding and conflict among environmentalists. Attempts by conservation biologists to manage wild and feral animals, including vector species, will be blocked by animal's rights groups. Even within the conservation biology movement there are many real and potential conflicts, especially over turf and resources. Such conflicts are a serious threat to biological diversity. Tolerance and compromise are essential if conservation biology is to accomplish its mission.\",\n", + " 'num_tokens': 231}" + ] + }, + "execution_count": 220, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "docs[0].metadata" ] }, { @@ -526,7 +1716,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 19, "id": "2376e1d7-5893-4022-a0af-155bb8c1950f", "metadata": {}, "outputs": [], @@ -537,13 +1727,13 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 20, "id": "a1f78d00-e4a0-40f3-a1e9-61dea83fa6cb", "metadata": {}, "outputs": [ { "data": { - "image/jpeg": 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", "text/plain": [ "" ] @@ -558,7 +1748,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 22, "id": "3a07607b-eb02-467f-a255-0c6bcdc6f62c", "metadata": {}, "outputs": [ @@ -580,7 +1770,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'intent': 'search', 'language': 'English', 'query': 'What evidence do we have of climate change?'}\n", + "{'intent': 'ai_impact', 'language': 'English', 'query': \"What's the impact of PFAS on babies ?\"}\n", "... Thinking step by step to answer the question\n" ] }, @@ -588,7 +1778,6 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n" @@ -598,8 +1787,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'questions': [{'question': 'What are the key indicators of climate change?', 'sources': ['IPCC']}, {'question': 'How do scientists gather evidence of climate change?', 'sources': ['IPCC']}, {'question': 'What data supports the existence of climate change?', 'sources': ['IPCC']}]}\n", - "... Searching in the knowledge base\n" + "{'remaining_questions': [{'question': 'What are PFAS?', 'sources': ['IPCC'], 'index': 'Vector'}, {'question': 'What are the potential impacts of PFAS exposure on babies?', 'sources': ['IPCC'], 'index': 'Vector'}], 'n_questions': 2}\n", + "... Searching for \"What are PFAS?\" in IPCC\n", + "... Searching for \"What are the potential impacts of PFAS exposure on babies?\" in IPCC\n" ] }, { @@ -613,32 +1803,28 @@ "name": "stdout", "output_type": "stream", "text": [ - "The evidence of climate change is supported by a broad range of indicators across various domains, as highlighted in the IPCC and IPBES reports:\n", + "The impact of PFAS on babies can have significant consequences on their health and development. PFAS exposure has been linked to adverse effects on cognitive function in children [Doc 6]. Prenatal exposure to PFAS can affect children's cognitive function, highlighting the potential risks associated with these chemicals [Doc 6].\n", "\n", - "- Surface air temperature and precipitation are key indicators of climate change [Doc 3, Doc 5].\n", - "- Monitoring surface temperatures is integral to understanding climate change [Doc 3].\n", - "- Upper-air temperatures are crucial indicators of different causal mechanisms underlying climate change [Doc 3].\n", - "- Large-scale changes in the global hydrological cycle are monitored through indicators like ocean and land precipitation-evaporation, global precipitation, total column water vapor, surface humidity, and global river runoff [Doc 3].\n", - "- A warming world may lead to changes in large-scale circulation patterns such as the Hadley circulation, monsoon systems, and the position and strength of the sub-tropical and polar jets [Doc 3].\n", - "- The evidence for climate change is not solely based on increasing surface temperatures but on a variety of indicators across the atmosphere, ocean, cryosphere, and biosphere [Doc 6, Doc 11].\n", - "- Scientists use multiple lines of evidence, including paleorecords, contemporary observations, manipulation experiments, and models, to attribute changes in marine ecosystems to climate change [Doc 8, Doc 10].\n", - "- Geological and biological materials like corals, trees, glacier ice, and fossil pollen preserve evidence of past climate changes, aiding in understanding climate change over time [Doc 9].\n", - "- Multiple data sources, methodologies, and approaches are used to construct climate information, including theoretical understanding, observed data, simulations, and experiments [Doc 7, Doc 13].\n", - "- To generate robust information on regional climate change, consistency among data sources is crucial, and observational uncertainty should be considered [Doc 14].\n", - "- The evidence base for climate change includes observed changes, model projections, and process-oriented attribution of changes to human interventions [Doc 15].\n", + "Furthermore, PFAS exposure can also have implications for food safety. Climate change may affect animal health management practices, potentially leading to increased use of pesticides or veterinary drugs that could result in increased levels of residues in foods, including PFAS [Doc 7]. This indicates a potential pathway for PFAS contamination in food sources, which can pose risks to human health, especially vulnerable populations like babies.\n", "\n", - "Overall, the evidence for climate change is derived from a comprehensive analysis of various indicators and data sources across different domains, providing a coherent picture of a warming world." + "In summary, PFAS exposure can impact babies by affecting their cognitive function and potentially leading to contamination in food sources, highlighting the importance of monitoring and regulating these chemicals to protect infant health and development." ] } ], "source": [ "verbose = False\n", - "question = \"What evidence do we have of climate change?\"\n", + "# question = \"What does the IPCC and IPBES think about deforestation ?\"\n", + "# question = \"I am not really sure what you mean. What role do cloud formations play in modulating the Earth's radiative balance, and how are they represented in current climate models?\"\n", + "# question = \"Are human activities causing global warming?\"\n", + "# question = \"What are the evidence of climate change?\"\n", + "# question = \"What specific mechanisms link solar activity, particularly sunspots, to changes in global climate?\"\n", + "# question = \"In what ways does warming specifically help impoverished communities?\"\n", + "question = \"What's the impact of PFAS on babies ?\"\n", "\n", "steps_display = {\n", " \"categorize_intent\":(\"... Analyzing user message\",True),\n", " \"transform_query\":(\"... Thinking step by step to answer the question\",True),\n", - " \"retrieve_documents\":(\"... Searching in the knowledge base\",False),\n", + " # \"retrieve_documents\":(\"... Searching in the knowledge base\",False),\n", "}\n", "\n", "def display_steps(event):\n", @@ -650,11 +1836,16 @@ " elif event[\"event\"] == \"on_chain_end\":\n", " if display_output:\n", " print(event[\"data\"][\"output\"])\n", + " if event[\"name\"] == \"log_retriever\" and event[\"event\"] == \"on_chain_start\":\n", + " question = event[\"data\"][\"input\"][\"question\"]\n", + " sources = event[\"data\"][\"input\"][\"sources\"]\n", + " print(f\"\"\"... Searching for \"{question}\" in {\", \".join(sources)}\"\"\")\n", "\n", - "async for event in agent.astream_events({\"user_input\":question,\"sources_input\":[\"auto\"],\"audience\":\"experts\"},version = \"v1\"):\n", + "async for event in agent.astream_events({\"user_input\":question,\"sources_input\":[\"IPCC\"],\"sources_auto\":False,\"audience\":\"experts\"},version = \"v1\"):\n", + "# async for event in agent.astream_log({\"user_input\":question,\"sources_input\":[\"auto\"],\"audience\":\"experts\"}):\n", "\n", " if verbose:\n", - " print(event)\n", + " print(str(event)[:1000])\n", " print(\"-\"*50)\n", " else:\n", " \n", @@ -664,36 +1855,39 @@ " if event[\"name\"] == \"retrieve_documents\" and event[\"event\"] == \"on_chain_end\":\n", " docs = event[\"data\"][\"output\"][\"documents\"]\n", " \n", - " display_steps(event)" + " display_steps(event)\n", + " " ] }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 93, "id": "a09f58e5-368b-486b-a458-7cfe56445c08", - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { "text/plain": [ - "[Document(page_content='Summary: The image is a graphical representation of human-environment interactions from 1970 to 2020, depicting the substantial increase in global economic growth and its varied environmental impacts across different categories of countries (developed, developing, and least developed countries). This graph shows key indicators such as Gross Domestic Product (GDP), Domestic Material Consumption, Extraction of Living Biomass, Protection of Key Biodiversity Areas (KBAs), Air Pollution, and Fertilizer Use, indicating disparities in economic growth, resource consumption, environmental conservation, and pollution among these groups of countries.', metadata={'chunk_type': 'image', 'document_id': 'document24', 'document_number': 24.0, 'element_id': 'Picture_0_32', 'figure_code': 'N/A', 'file_size': 230.771484375, 'image_path': '/dbfs/mnt/ai4sclqa/raw/climateqa/documents/document24/images/Picture_0_32.png', 'n_pages': 60.0, 'name': 'Summary for Policymakers. Global assessment report on biodiversity and ecosystem services of the IPBES (Version 1)', 'num_characters': 'N/A', 'num_tokens': 'N/A', 'num_tokens_approx': 'N/A', 'num_words': 'N/A', 'page_number': 33, 'release_date': 2019.0, 'report_type': 'SPM', 'section_header': 'N/A', 'short_name': 'IPBES GAR SPM', 'source': 'IPBES', 'toc_level0': 'N/A', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/record/3553579/files/ipbes_global_assessment_report_summary_for_policymakers.pdf', 'similarity_score': 0.658392608, 'content': 'Summary: The image is a graphical representation of human-environment interactions from 1970 to 2020, depicting the substantial increase in global economic growth and its varied environmental impacts across different categories of countries (developed, developing, and least developed countries). This graph shows key indicators such as Gross Domestic Product (GDP), Domestic Material Consumption, Extraction of Living Biomass, Protection of Key Biodiversity Areas (KBAs), Air Pollution, and Fertilizer Use, indicating disparities in economic growth, resource consumption, environmental conservation, and pollution among these groups of countries.', 'reranking_score': 0.9946669340133667, 'query_used_for_retrieval': 'What are the key indicators of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content='This image is a representation of the four-box model used to communicate the level of scientific confidence in relation to climate change and biodiversity findings. It visually summarizes how confidence is categorized based on the strength of evidence and the degree of consensus among experts. The model categorizes findings into four different types of confidence levels: Inconclusive, Established but Incomplete, Unresolved, and Well Established, each corresponding to different intersections of evidence and agreement. The shading gradient indicates that higher confidence is represented towards the top right corner, which combines a high level of agreement with robust quantity and quality of evidence. This framework is instrumental in communicating scientific assessments from organizations such as IPBES.', metadata={'chunk_type': 'image', 'document_id': 'document34', 'document_number': 34.0, 'element_id': 'Picture_0_47', 'figure_code': 'Figure \\r\\nSPM.A1', 'file_size': 79.890625, 'image_path': '/dbfs/mnt/ai4sclqa/raw/climateqa/documents/document34/images/Picture_0_47.png', 'n_pages': 52.0, 'name': 'Summary for Policymakers. 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The model categorizes findings into four different types of confidence levels: Inconclusive, Established but Incomplete, Unresolved, and Well Established, each corresponding to different intersections of evidence and agreement. The shading gradient indicates that higher confidence is represented towards the top right corner, which combines a high level of agreement with robust quantity and quality of evidence. This framework is instrumental in communicating scientific assessments from organizations such as IPBES.', 'reranking_score': 0.9927500486373901, 'query_used_for_retrieval': 'How do scientists gather evidence of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content='by interactions of climate change with other environmental, \\r\\nsociocultural, political and economic drivers and associated \\r\\nunderlying causes. Developing effective responses is also \\r\\nchallenged by incomplete knowledge of climate change \\r\\npatterns and by many gaps in understanding of how climate \\r\\nchange affects sustainability of uses (established but \\r\\nincomplete) {4.2.1.2}.', metadata={'chunk_type': 'text', 'document_id': 'document26', 'document_number': 26.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 44.0, 'name': 'Summary for Policymakers. Summary for policymakers of the thematic assessment of the sustainable use of wild species of the IPBES', 'num_characters': 379.0, 'num_tokens': 75.0, 'num_tokens_approx': 81.0, 'num_words': 61.0, 'page_number': 23, 'release_date': 2022.0, 'report_type': 'SPM', 'section_header': 'B2 The sustainability of the use of wild species \\r\\nis influenced negatively or positively by \\r\\nmultiple drivers.', 'short_name': 'IPBES TAM SW SPM', 'source': 'IPBES', 'toc_level0': 'Table of Contents', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/record/7411847/files/EN_SPM_SUSTAINABLE%20USE%20OF%20WILD%20SPECIES.pdf', 'similarity_score': 0.624824047, 'content': 'by interactions of climate change with other environmental, \\r\\nsociocultural, political and economic drivers and associated \\r\\nunderlying causes. Developing effective responses is also \\r\\nchallenged by incomplete knowledge of climate change \\r\\npatterns and by many gaps in understanding of how climate \\r\\nchange affects sustainability of uses (established but \\r\\nincomplete) {4.2.1.2}.', 'reranking_score': 0.9903822541236877, 'query_used_for_retrieval': 'What data supports the existence of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content='Summary: This figure visually represents a comparison of different pathways towards sustainable development, categorized by scenarios such as Green Economy, Low Carbon, and Ecotopian approaches. Each pathway is assessed for its effectiveness in addressing a range of sustainability goals, indicated by varying shades of green. Darker shades correlate with a greater number of goals addressed. The diagram serves as a tool for understanding the spectrum and relative impact of sustainability strategies within scenario archetypes outlined by the IPCC and IPBES reports on climate change and biodiversity. The pathways range from resource sparing to local multifunctionality, highlighting diverse strategies to combat climate change and protect biodiversity.', metadata={'chunk_type': 'image', 'document_id': 'document34', 'document_number': 34.0, 'element_id': 'Picture_0_35', 'figure_code': 'N/A', 'file_size': 66.1787109375, 'image_path': '/dbfs/mnt/ai4sclqa/raw/climateqa/documents/document34/images/Picture_0_35.png', 'n_pages': 52.0, 'name': 'Summary for Policymakers. Regional Assessment Report on Biodiversity and Ecosystem Services for Europe and Central Asia', 'num_characters': 'N/A', 'num_tokens': 'N/A', 'num_tokens_approx': 'N/A', 'num_words': 'N/A', 'page_number': 36, 'release_date': 2018.0, 'report_type': 'SPM', 'section_header': 'N/A', 'short_name': 'IPBES RAR ECA SPM', 'source': 'IPBES', 'toc_level0': 'N/A', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/record/3237468/files/ipbes_assessment_spm_eca_EN.pdf', 'similarity_score': 0.657539964, 'content': 'Summary: This figure visually represents a comparison of different pathways towards sustainable development, categorized by scenarios such as Green Economy, Low Carbon, and Ecotopian approaches. Each pathway is assessed for its effectiveness in addressing a range of sustainability goals, indicated by varying shades of green. Darker shades correlate with a greater number of goals addressed. The diagram serves as a tool for understanding the spectrum and relative impact of sustainability strategies within scenario archetypes outlined by the IPCC and IPBES reports on climate change and biodiversity. The pathways range from resource sparing to local multifunctionality, highlighting diverse strategies to combat climate change and protect biodiversity.', 'reranking_score': 0.9874748587608337, 'query_used_for_retrieval': 'What are the key indicators of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content='Summary:\\nThe image illustrates the four-box model for qualitative communication of confidence from scientific reports. It showcases a matrix with two axes: \"Level of Agreement\" on the vertical axis, ranging from low to high, and the horizontal axis representing the \"Quantity and Quality of Evidence,\" ranging from robust to low. The four quadrants formed are labeled as \"Established but incomplete,\" \"Well established,\" \"Inconclusive,\" and \"Unresolved,\" indicating various degrees of scientific confidence based on the agreement among experts and the evidence\\'s quality. Additionally, a separate \"Certainty Scale\" bar on the right side of the diagram indicates a continuum from low to high certainty. This model is used for assessing and communicating the confidence in scientific findings related to climate change and biodiversity.', metadata={'chunk_type': 'image', 'document_id': 'document26', 'document_number': 26.0, 'element_id': 'Picture_0_38', 'figure_code': 'N/A', 'file_size': 56.0205078125, 'image_path': '/dbfs/mnt/ai4sclqa/raw/climateqa/documents/document26/images/Picture_0_38.png', 'n_pages': 44.0, 'name': 'Summary for Policymakers. Summary for policymakers of the thematic assessment of the sustainable use of wild species of the IPBES', 'num_characters': 'N/A', 'num_tokens': 'N/A', 'num_tokens_approx': 'N/A', 'num_words': 'N/A', 'page_number': 39, 'release_date': 2022.0, 'report_type': 'SPM', 'section_header': 'N/A', 'short_name': 'IPBES TAM SW SPM', 'source': 'IPBES', 'toc_level0': 'Table of Contents', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/record/7411847/files/EN_SPM_SUSTAINABLE%20USE%20OF%20WILD%20SPECIES.pdf', 'similarity_score': 0.636326432, 'content': 'Summary:\\nThe image illustrates the four-box model for qualitative communication of confidence from scientific reports. It showcases a matrix with two axes: \"Level of Agreement\" on the vertical axis, ranging from low to high, and the horizontal axis representing the \"Quantity and Quality of Evidence,\" ranging from robust to low. The four quadrants formed are labeled as \"Established but incomplete,\" \"Well established,\" \"Inconclusive,\" and \"Unresolved,\" indicating various degrees of scientific confidence based on the agreement among experts and the evidence\\'s quality. Additionally, a separate \"Certainty Scale\" bar on the right side of the diagram indicates a continuum from low to high certainty. This model is used for assessing and communicating the confidence in scientific findings related to climate change and biodiversity.', 'reranking_score': 0.9869220852851868, 'query_used_for_retrieval': 'How do scientists gather evidence of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content='by interactions of climate change with other environmental, \\r\\nsociocultural, political and economic drivers and associated \\r\\nunderlying causes. Developing effective responses is also \\r\\nchallenged by incomplete knowledge of climate change \\r\\npatterns and by many gaps in understanding of how climate \\r\\nchange affects sustainability of uses (established but \\r\\nincomplete) {4.2.1.2}.', metadata={'chunk_type': 'text', 'document_id': 'document26', 'document_number': 26.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 44.0, 'name': 'Summary for Policymakers. Summary for policymakers of the thematic assessment of the sustainable use of wild species of the IPBES', 'num_characters': 379.0, 'num_tokens': 75.0, 'num_tokens_approx': 81.0, 'num_words': 61.0, 'page_number': 23, 'release_date': 2022.0, 'report_type': 'SPM', 'section_header': 'B2 The sustainability of the use of wild species \\r\\nis influenced negatively or positively by \\r\\nmultiple drivers.', 'short_name': 'IPBES TAM SW SPM', 'source': 'IPBES', 'toc_level0': 'Table of Contents', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/record/7411847/files/EN_SPM_SUSTAINABLE%20USE%20OF%20WILD%20SPECIES.pdf', 'similarity_score': 0.653102875, 'content': 'by interactions of climate change with other environmental, \\r\\nsociocultural, political and economic drivers and associated \\r\\nunderlying causes. Developing effective responses is also \\r\\nchallenged by incomplete knowledge of climate change \\r\\npatterns and by many gaps in understanding of how climate \\r\\nchange affects sustainability of uses (established but \\r\\nincomplete) {4.2.1.2}.', 'reranking_score': 0.9700126051902771, 'query_used_for_retrieval': 'What are the key indicators of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content='The Assessment is critical today because evidence has \\r\\naccumulated that the multiple threats to biodiversity have \\r\\nintensified since previous reports, and that the sustainable use \\r\\nof nature will be vital for adapting to and mitigating dangerous \\r\\nanthropogenic interference with the climate system, as well as \\r\\nfor achieving many of our most important development goals.\\nThe findings of this Assessment focus on the global scale, \\r\\nspanning the period from the 1970s to 2050. They are based \\r\\non an unprecedented collection of evidence, integrating \\r\\nnatural and social science perspectives, a range of knowledge \\r\\nsystems and multiple dimensions of value. This is the first \\r\\nglobal-level assessment to systematically consider evidence \\r\\nabout the contributions of indigenous and local knowledge \\r\\nand practices, and issues concerning Indigenous Peoples and \\r\\nLocal Communities. All these features result in a more holistic \\r\\nassessment of indirect drivers as root causes of changes \\r\\nin nature and the associated risks to the quality of life of \\r\\nall people.', metadata={'chunk_type': 'text', 'document_id': 'document24', 'document_number': 24.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 60.0, 'name': 'Summary for Policymakers. Global assessment report on biodiversity and ecosystem services of the IPBES (Version 1)', 'num_characters': 1065.0, 'num_tokens': 196.0, 'num_tokens_approx': 225.0, 'num_words': 169.0, 'page_number': 5, 'release_date': 2019.0, 'report_type': 'SPM', 'section_header': 'FOREWORDFOREWORD\\n\\x0c', 'short_name': 'IPBES GAR SPM', 'source': 'IPBES', 'toc_level0': 'N/A', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/record/3553579/files/ipbes_global_assessment_report_summary_for_policymakers.pdf', 'similarity_score': 0.651207328, 'content': 'The Assessment is critical today because evidence has \\r\\naccumulated that the multiple threats to biodiversity have \\r\\nintensified since previous reports, and that the sustainable use \\r\\nof nature will be vital for adapting to and mitigating dangerous \\r\\nanthropogenic interference with the climate system, as well as \\r\\nfor achieving many of our most important development goals.\\nThe findings of this Assessment focus on the global scale, \\r\\nspanning the period from the 1970s to 2050. They are based \\r\\non an unprecedented collection of evidence, integrating \\r\\nnatural and social science perspectives, a range of knowledge \\r\\nsystems and multiple dimensions of value. This is the first \\r\\nglobal-level assessment to systematically consider evidence \\r\\nabout the contributions of indigenous and local knowledge \\r\\nand practices, and issues concerning Indigenous Peoples and \\r\\nLocal Communities. All these features result in a more holistic \\r\\nassessment of indirect drivers as root causes of changes \\r\\nin nature and the associated risks to the quality of life of \\r\\nall people.', 'reranking_score': 0.9676424860954285, 'query_used_for_retrieval': 'What are the key indicators of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content=\"Summary: This visual summary presents an assessment of global environmental changes and their impact on nature's capacity to support human well-being between 1970 and the present, indicating overall declines in various ecosystem services across multiple categories. This decline is signalled by downward arrows in categories such as habitat creation, pollination, air and climate regulation, as well as freshwater regulation. The chart differentiates between consistent regional trends and variable outcomes, while also providing indicators for each service that demonstrate the observed changes.\", metadata={'chunk_type': 'image', 'document_id': 'document24', 'document_number': 24.0, 'element_id': 'Picture_0_24', 'figure_code': 'N/A', 'file_size': 620.9736328125, 'image_path': '/dbfs/mnt/ai4sclqa/raw/climateqa/documents/document24/images/Picture_0_24.png', 'n_pages': 60.0, 'name': 'Summary for Policymakers. Global assessment report on biodiversity and ecosystem services of the IPBES (Version 1)', 'num_characters': 'N/A', 'num_tokens': 'N/A', 'num_tokens_approx': 'N/A', 'num_words': 'N/A', 'page_number': 25, 'release_date': 2019.0, 'report_type': 'SPM', 'section_header': 'N/A', 'short_name': 'IPBES GAR SPM', 'source': 'IPBES', 'toc_level0': 'N/A', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/record/3553579/files/ipbes_global_assessment_report_summary_for_policymakers.pdf', 'similarity_score': 0.651050925, 'content': \"Summary: This visual summary presents an assessment of global environmental changes and their impact on nature's capacity to support human well-being between 1970 and the present, indicating overall declines in various ecosystem services across multiple categories. This decline is signalled by downward arrows in categories such as habitat creation, pollination, air and climate regulation, as well as freshwater regulation. The chart differentiates between consistent regional trends and variable outcomes, while also providing indicators for each service that demonstrate the observed changes.\", 'reranking_score': 0.9634665846824646, 'query_used_for_retrieval': 'What are the key indicators of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content='by interactions of climate change with other environmental, \\r\\nsociocultural, political and economic drivers and associated \\r\\nunderlying causes. Developing effective responses is also \\r\\nchallenged by incomplete knowledge of climate change \\r\\npatterns and by many gaps in understanding of how climate \\r\\nchange affects sustainability of uses (established but \\r\\nincomplete) {4.2.1.2}.', metadata={'chunk_type': 'text', 'document_id': 'document26', 'document_number': 26.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 44.0, 'name': 'Summary for Policymakers. Summary for policymakers of the thematic assessment of the sustainable use of wild species of the IPBES', 'num_characters': 379.0, 'num_tokens': 75.0, 'num_tokens_approx': 81.0, 'num_words': 61.0, 'page_number': 23, 'release_date': 2022.0, 'report_type': 'SPM', 'section_header': 'B2 The sustainability of the use of wild species \\r\\nis influenced negatively or positively by \\r\\nmultiple drivers.', 'short_name': 'IPBES TAM SW SPM', 'source': 'IPBES', 'toc_level0': 'Table of Contents', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/record/7411847/files/EN_SPM_SUSTAINABLE%20USE%20OF%20WILD%20SPECIES.pdf', 'similarity_score': 0.623599827, 'content': 'by interactions of climate change with other environmental, \\r\\nsociocultural, political and economic drivers and associated \\r\\nunderlying causes. Developing effective responses is also \\r\\nchallenged by incomplete knowledge of climate change \\r\\npatterns and by many gaps in understanding of how climate \\r\\nchange affects sustainability of uses (established but \\r\\nincomplete) {4.2.1.2}.', 'reranking_score': 0.9539093375205994, 'query_used_for_retrieval': 'How do scientists gather evidence of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content=\"Summary: The image is a four-box model that represents a framework used by the IPBES to communicate the confidence level of scientific findings related to biodiversity and climate change. It illustrates the relationship between the quantity and quality of evidence and the level of agreement among experts, with confidence increasing from the bottom left corner ('Inconclusive' with low evidence and agreement) to the top right corner ('Well established' with high evidence and agreement). The degree of shading in each box corresponds to the level of certainty, which is also represented by an adjacent certainty scale with 'High' at the top and 'Low' at the bottom. This model serves as a guideline for assessing the degree of confidence in key findings within environmental reports.\", metadata={'chunk_type': 'image', 'document_id': 'document32', 'document_number': 32.0, 'element_id': 'Picture_0_41', 'figure_code': 'Figure \\r\\nSPM.A1', 'file_size': 57.51171875, 'image_path': '/dbfs/mnt/ai4sclqa/raw/climateqa/documents/document32/images/Picture_0_41.png', 'n_pages': 44.0, 'name': 'Summary for Policymakers. 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It illustrates the relationship between the quantity and quality of evidence and the level of agreement among experts, with confidence increasing from the bottom left corner ('Inconclusive' with low evidence and agreement) to the top right corner ('Well established' with high evidence and agreement). The degree of shading in each box corresponds to the level of certainty, which is also represented by an adjacent certainty scale with 'High' at the top and 'Low' at the bottom. This model serves as a guideline for assessing the degree of confidence in key findings within environmental reports.\", 'reranking_score': 0.9479717016220093, 'query_used_for_retrieval': 'How do scientists gather evidence of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content='instance, water, energy and shelter provision for the growing \\r\\npopulation at other scales {2.2.1.3, 8.4.2}. Effective means for \\r\\nenhancing such coordination and collaboration include the \\r\\nengagement of scientists with leaders in government, \\r\\nbusiness and civil society to develop the knowledge, tools \\r\\nand practices necessary to integrate social-ecological \\r\\ninteractions into decision-making {1.3.2.1, 2.3.2.2, 6.4.3, \\r\\n6.4.4, 8.2.3}, and cross-disciplinary and multi-actor \\r\\ncollaboration in research, restoration planning and \\r\\nimplementation {6.4.2.3, 6,4,3, 8.2.3}.', metadata={'chunk_type': 'text', 'document_id': 'document36', 'document_number': 36.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 48.0, 'name': 'Summary for Policymakers. Assessment Report on Land Degradation and Restoration', 'num_characters': 575.0, 'num_tokens': 163.0, 'num_tokens_approx': 190.0, 'num_words': 143.0, 'page_number': 37, 'release_date': 2018.0, 'report_type': 'SPM', 'section_header': 'Table SPM 1 Responses to address land degradation, their impacts and outcomes for \\r\\nbiodiversity and ecosystem services. ', 'short_name': 'IPBES AR LDR SPM', 'source': 'IPBES', 'toc_level0': 'N/A', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/records/3237411/files/ipbes_assessment_spm_ldra_EN.pdf?download=1', 'similarity_score': 0.605369747, 'content': 'instance, water, energy and shelter provision for the growing \\r\\npopulation at other scales {2.2.1.3, 8.4.2}. Effective means for \\r\\nenhancing such coordination and collaboration include the \\r\\nengagement of scientists with leaders in government, \\r\\nbusiness and civil society to develop the knowledge, tools \\r\\nand practices necessary to integrate social-ecological \\r\\ninteractions into decision-making {1.3.2.1, 2.3.2.2, 6.4.3, \\r\\n6.4.4, 8.2.3}, and cross-disciplinary and multi-actor \\r\\ncollaboration in research, restoration planning and \\r\\nimplementation {6.4.2.3, 6,4,3, 8.2.3}.', 'reranking_score': 0.9426116943359375, 'query_used_for_retrieval': 'How do scientists gather evidence of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content='20. United Nations Development Programme (2015). Human Development \\r\\nData (1990-2015) Retrieved from http://hdr.undp.org/en/data\\r\\n21. Van der Esch, S., ten Brink, B., Stehfest, E., Bakkenes, M., Sewell, \\r\\nA., Bouwman, A., Meijer, J., Westhoek, H., and van den Berg, M. \\r\\n(2017). Exploring future changes in land use and land condition and \\r\\nthe impacts on food, water, climate change and biodiversity: Scenarios \\r\\nfor the UNCCD Global Land Outlook. The Hague: PBL Netherlands \\r\\nEnvironmental Assessment Agency. Retrieved from http://www.pbl.nl/\\r\\nsites/default/files/cms/publicaties/pbl-2017-exploring-future-changes\\x02in-land-use-and-land-condition-2076.pdf', metadata={'chunk_type': 'text', 'document_id': 'document36', 'document_number': 36.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 48.0, 'name': 'Summary for Policymakers. Assessment Report on Land Degradation and Restoration', 'num_characters': 655.0, 'num_tokens': 184.0, 'num_tokens_approx': 214.0, 'num_words': 161.0, 'page_number': 28, 'release_date': 2018.0, 'report_type': 'SPM', 'section_header': 'Figure SPM 9 Land degradation affects countries of all income levels and at all levels of human \\r\\ndevelopment. ', 'short_name': 'IPBES AR LDR SPM', 'source': 'IPBES', 'toc_level0': 'N/A', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/records/3237411/files/ipbes_assessment_spm_ldra_EN.pdf?download=1', 'similarity_score': 0.622500896, 'content': '20. United Nations Development Programme (2015). Human Development \\r\\nData (1990-2015) Retrieved from http://hdr.undp.org/en/data\\r\\n21. Van der Esch, S., ten Brink, B., Stehfest, E., Bakkenes, M., Sewell, \\r\\nA., Bouwman, A., Meijer, J., Westhoek, H., and van den Berg, M. \\r\\n(2017). Exploring future changes in land use and land condition and \\r\\nthe impacts on food, water, climate change and biodiversity: Scenarios \\r\\nfor the UNCCD Global Land Outlook. The Hague: PBL Netherlands \\r\\nEnvironmental Assessment Agency. Retrieved from http://www.pbl.nl/\\r\\nsites/default/files/cms/publicaties/pbl-2017-exploring-future-changes\\x02in-land-use-and-land-condition-2076.pdf', 'reranking_score': 0.8312966823577881, 'query_used_for_retrieval': 'What data supports the existence of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content='This image is a representation of the four-box model used to communicate the level of scientific confidence in relation to climate change and biodiversity findings. It visually summarizes how confidence is categorized based on the strength of evidence and the degree of consensus among experts. The model categorizes findings into four different types of confidence levels: Inconclusive, Established but Incomplete, Unresolved, and Well Established, each corresponding to different intersections of evidence and agreement. The shading gradient indicates that higher confidence is represented towards the top right corner, which combines a high level of agreement with robust quantity and quality of evidence. This framework is instrumental in communicating scientific assessments from organizations such as IPBES.', metadata={'chunk_type': 'image', 'document_id': 'document34', 'document_number': 34.0, 'element_id': 'Picture_0_47', 'figure_code': 'Figure \\r\\nSPM.A1', 'file_size': 79.890625, 'image_path': '/dbfs/mnt/ai4sclqa/raw/climateqa/documents/document34/images/Picture_0_47.png', 'n_pages': 52.0, 'name': 'Summary for Policymakers. Regional Assessment Report on Biodiversity and Ecosystem Services for Europe and Central Asia', 'num_characters': 'N/A', 'num_tokens': 'N/A', 'num_tokens_approx': 'N/A', 'num_words': 'N/A', 'page_number': 48, 'release_date': 2018.0, 'report_type': 'SPM', 'section_header': 'N/A', 'short_name': 'IPBES RAR ECA SPM', 'source': 'IPBES', 'toc_level0': 'N/A', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/record/3237468/files/ipbes_assessment_spm_eca_EN.pdf', 'similarity_score': 0.621113539, 'content': 'This image is a representation of the four-box model used to communicate the level of scientific confidence in relation to climate change and biodiversity findings. It visually summarizes how confidence is categorized based on the strength of evidence and the degree of consensus among experts. The model categorizes findings into four different types of confidence levels: Inconclusive, Established but Incomplete, Unresolved, and Well Established, each corresponding to different intersections of evidence and agreement. The shading gradient indicates that higher confidence is represented towards the top right corner, which combines a high level of agreement with robust quantity and quality of evidence. This framework is instrumental in communicating scientific assessments from organizations such as IPBES.', 'reranking_score': 0.6637013554573059, 'query_used_for_retrieval': 'What data supports the existence of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content='biodiversity (well established) {4.2.2.2, 4.2.2.3.1}. Climate \\r\\nchange alone is projected to decrease ocean net primary \\r\\nproduction by between 3 and 10 per cent, and fish biomass \\r\\nby between 3 and 25 per cent (in low and high warming \\r\\nscenarios, respectively) by the end of the century (established \\r\\nbut incomplete) {4.2.2.2.1}. Whether or not the current \\r\\nremoval of nearly 30 per cent of anthropogenic carbon \\r\\ndioxide emissions by terrestrial ecosystems continues into the \\r\\nfuture varies greatly from one scenario to the next and \\r\\ndepends heavily on how climate change, atmospheric carbon \\r\\ndioxide and land-use change interact. Important regulating \\r\\ncontributions of nature, such as coastal and soil protection, \\r\\ncrop pollination and carbon storage, are projected to decline\\r\\n(established but incomplete) {4.2.4, 4.3.2.1}. In contrast, \\r\\nsubstantial increases in food, feed, timber and bioenergy', metadata={'chunk_type': 'text', 'document_id': 'document24', 'document_number': 24.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 60.0, 'name': 'Summary for Policymakers. Global assessment report on biodiversity and ecosystem services of the IPBES (Version 1)', 'num_characters': 908.0, 'num_tokens': 223.0, 'num_tokens_approx': 253.0, 'num_words': 190.0, 'page_number': 39, 'release_date': 2019.0, 'report_type': 'SPM', 'section_header': \"Figure SPM 7 Summary of recent status and trends in aspects of nature and nature's \\r\\ncontributions to people that support progress towards achieving selected targets \\r\\nof the Sustainable Development Goals. \", 'short_name': 'IPBES GAR SPM', 'source': 'IPBES', 'toc_level0': 'N/A', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/record/3553579/files/ipbes_global_assessment_report_summary_for_policymakers.pdf', 'similarity_score': 0.61879009, 'content': 'biodiversity (well established) {4.2.2.2, 4.2.2.3.1}. Climate \\r\\nchange alone is projected to decrease ocean net primary \\r\\nproduction by between 3 and 10 per cent, and fish biomass \\r\\nby between 3 and 25 per cent (in low and high warming \\r\\nscenarios, respectively) by the end of the century (established \\r\\nbut incomplete) {4.2.2.2.1}. Whether or not the current \\r\\nremoval of nearly 30 per cent of anthropogenic carbon \\r\\ndioxide emissions by terrestrial ecosystems continues into the \\r\\nfuture varies greatly from one scenario to the next and \\r\\ndepends heavily on how climate change, atmospheric carbon \\r\\ndioxide and land-use change interact. Important regulating \\r\\ncontributions of nature, such as coastal and soil protection, \\r\\ncrop pollination and carbon storage, are projected to decline\\r\\n(established but incomplete) {4.2.4, 4.3.2.1}. In contrast, \\r\\nsubstantial increases in food, feed, timber and bioenergy', 'reranking_score': 0.465409517288208, 'query_used_for_retrieval': 'What data supports the existence of climate change?', 'sources_used': ['IPBES']}),\n", - " Document(page_content='13. Van der Esch, S., ten Brink, B., Stehfest, E., Bakkenes, M., Sewell, \\r\\nA., Bouwman, A., Meijer, J., Westhoek, H., and van den Berg, M. \\r\\n(2017). Exploring future changes in land use and land condition and \\r\\nthe impacts on food, water, climate change and biodiversity: Scenarios \\r\\nfor the UNCCD Global Land Outlook. The Hague: PBL Netherlands \\r\\nEnvironmental Assessment Agency. Retrieved from http://www.pbl.nl/\\r\\nsites/default/files/cms/publicaties/pbl-2017-exploring-future-changes\\x02in-land-use-and-land-condition-2076.pdf.', metadata={'chunk_type': 'text', 'document_id': 'document36', 'document_number': 36.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 48.0, 'name': 'Summary for Policymakers. Assessment Report on Land Degradation and Restoration', 'num_characters': 526.0, 'num_tokens': 152.0, 'num_tokens_approx': 176.0, 'num_words': 132.0, 'page_number': 25, 'release_date': 2018.0, 'report_type': 'SPM', 'section_header': 'Figure SPM 7 Human activity has changed the surface of the planet in profound and \\r\\nfar-reaching ways. ', 'short_name': 'IPBES AR LDR SPM', 'source': 'IPBES', 'toc_level0': 'N/A', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://zenodo.org/records/3237411/files/ipbes_assessment_spm_ldra_EN.pdf?download=1', 'similarity_score': 0.616809428, 'content': '13. Van der Esch, S., ten Brink, B., Stehfest, E., Bakkenes, M., Sewell, \\r\\nA., Bouwman, A., Meijer, J., Westhoek, H., and van den Berg, M. \\r\\n(2017). Exploring future changes in land use and land condition and \\r\\nthe impacts on food, water, climate change and biodiversity: Scenarios \\r\\nfor the UNCCD Global Land Outlook. The Hague: PBL Netherlands \\r\\nEnvironmental Assessment Agency. Retrieved from http://www.pbl.nl/\\r\\nsites/default/files/cms/publicaties/pbl-2017-exploring-future-changes\\x02in-land-use-and-land-condition-2076.pdf.', 'reranking_score': 0.19112645089626312, 'query_used_for_retrieval': 'What data supports the existence of climate change?', 'sources_used': ['IPBES']})]" + "[Document(page_content='Climate change adaptation entails the process of adjustment to actual or expected climate change and its effects \\r\\nin order to moderate harm or exploit beneficial opportunities. At a high level, international frameworks, including \\r\\nthe Paris Agreement and the SDGs, have come to provide a direction for coordinating, financing and assessing \\r\\nglobal progress in these terms. The Paris Agreement calls for climate change adaptation actions, referring to these \\r\\nactions as those that reduce risk and vulnerability, strengthen resilience, enhance the capacity to anticipate and \\r\\nrespond successfully, and ensure the availability of necessary financial resources, as these processes and outcomes \\r\\nrelate to climate change. In addition, the Sustainable Development Goals include 17 targets (with a specific goal \\r\\nSDG 13 on climate action) to fulfil its mission to end extreme poverty by 2030, protect the planet and build more \\r\\npeaceful, just and inclusive societies. These goals are difficult to reach without successful adaptation to climate \\r\\nchange. Other notable frameworks that identify climate change adaptation as important global priorities include \\r\\nthe SFDRR, the finance-oriented Addis Ababa Action Agenda and the New Urban Agenda.', metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 1244.0, 'num_tokens': 223.0, 'num_tokens_approx': 269.0, 'num_words': 202.0, 'page_number': 189, 'release_date': 2022.0, 'report_type': 'Full Report', 'section_header': 'FAQ 1.1 | What are the goals of climate change adaptation?', 'short_name': 'IPCC AR6 WGII FR', 'source': 'IPCC', 'toc_level0': 'Chapters and Cross-Chapter Papers ', 'toc_level1': 'Chapter 1 Point of Departure and Key Concepts', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://report.ipcc.ch/ar6/wg2/IPCC_AR6_WGII_FullReport.pdf', 'similarity_score': 0.728290737, 'content': 'Climate change adaptation entails the process of adjustment to actual or expected climate change and its effects \\r\\nin order to moderate harm or exploit beneficial opportunities. At a high level, international frameworks, including \\r\\nthe Paris Agreement and the SDGs, have come to provide a direction for coordinating, financing and assessing \\r\\nglobal progress in these terms. The Paris Agreement calls for climate change adaptation actions, referring to these \\r\\nactions as those that reduce risk and vulnerability, strengthen resilience, enhance the capacity to anticipate and \\r\\nrespond successfully, and ensure the availability of necessary financial resources, as these processes and outcomes \\r\\nrelate to climate change. In addition, the Sustainable Development Goals include 17 targets (with a specific goal \\r\\nSDG 13 on climate action) to fulfil its mission to end extreme poverty by 2030, protect the planet and build more \\r\\npeaceful, just and inclusive societies. These goals are difficult to reach without successful adaptation to climate \\r\\nchange. Other notable frameworks that identify climate change adaptation as important global priorities include \\r\\nthe SFDRR, the finance-oriented Addis Ababa Action Agenda and the New Urban Agenda.', 'reranking_score': 0.9998205, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content='Frequently Asked Questions\\nFAQ 1.1 | What are the goals of climate change adaptation?\\nThe goals of climate change adaptation, as a broad concept, are to reduce risk and vulnerability to climate change, strengthen resilience, \\r\\nenhance well-being and the capacity to anticipate, and respond successfully to change. Existing international frameworks provide a high-level \\r\\ndirection for coordinating, financing and assessing progress toward these goals. However, specifying the goals for specific adaptation actions \\r\\nis not straightforward because the impacts of climate change affect people and nature in many different ways requiring different adaptation \\r\\nactions. Thereby, goals that accompany these actions are diverse. Goals can relate to health, water or food security, jobs and employment, \\r\\npoverty eradication and social equity, biodiversity and ecosystem services at international, national and local levels.\\n FAQ 1.1 | What are the goals of climate change adaptation? ', metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 1013.0, 'num_tokens': 185.0, 'num_tokens_approx': 234.0, 'num_words': 176.0, 'page_number': 189, 'release_date': 2022.0, 'report_type': 'Full Report', 'section_header': '1.6 Structure of the Report', 'short_name': 'IPCC AR6 WGII FR', 'source': 'IPCC', 'toc_level0': 'Chapters and Cross-Chapter Papers ', 'toc_level1': 'Chapter 1 Point of Departure and Key Concepts', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://report.ipcc.ch/ar6/wg2/IPCC_AR6_WGII_FullReport.pdf', 'similarity_score': 0.701966941, 'content': 'Frequently Asked Questions\\nFAQ 1.1 | What are the goals of climate change adaptation?\\nThe goals of climate change adaptation, as a broad concept, are to reduce risk and vulnerability to climate change, strengthen resilience, \\r\\nenhance well-being and the capacity to anticipate, and respond successfully to change. Existing international frameworks provide a high-level \\r\\ndirection for coordinating, financing and assessing progress toward these goals. However, specifying the goals for specific adaptation actions \\r\\nis not straightforward because the impacts of climate change affect people and nature in many different ways requiring different adaptation \\r\\nactions. Thereby, goals that accompany these actions are diverse. Goals can relate to health, water or food security, jobs and employment, \\r\\npoverty eradication and social equity, biodiversity and ecosystem services at international, national and local levels.\\n FAQ 1.1 | What are the goals of climate change adaptation? ', 'reranking_score': 0.9979572, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content='The success of climate change adaptation is dependent on the extent to which relevant actions reduce risk and vulnerability, as well as achieve \\r\\ntheir respective goals. At a global scale, these goals are set and tracked according to international frameworks and conventions. At smaller \\r\\nscales, such as local and national, goals are dependent on the specific impacts being managed, the actions being taken and the relevant scale. \\r\\nWhile success can take shape as uniquely as goals can, the degree to which an adaptation is feasible, effective and conforms to principles of \\r\\njustice represents important attributes for measuring success across actions. Adaptation responses that lead to increased risk and impacts are \\r\\nconsidered maladaptation.\\n FAQ 1.3 | What constitutes successful adaptation to climate change? ', metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 852.0, 'num_tokens': 156.0, 'num_tokens_approx': 196.0, 'num_words': 147.0, 'page_number': 190, 'release_date': 2022.0, 'report_type': 'Full Report', 'section_header': 'FAQ 1.3 | What constitutes successful adaptation to climate change?', 'short_name': 'IPCC AR6 WGII FR', 'source': 'IPCC', 'toc_level0': 'Chapters and Cross-Chapter Papers ', 'toc_level1': 'Chapter 1 Point of Departure and Key Concepts', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://report.ipcc.ch/ar6/wg2/IPCC_AR6_WGII_FullReport.pdf', 'similarity_score': 0.691562712, 'content': 'The success of climate change adaptation is dependent on the extent to which relevant actions reduce risk and vulnerability, as well as achieve \\r\\ntheir respective goals. At a global scale, these goals are set and tracked according to international frameworks and conventions. At smaller \\r\\nscales, such as local and national, goals are dependent on the specific impacts being managed, the actions being taken and the relevant scale. \\r\\nWhile success can take shape as uniquely as goals can, the degree to which an adaptation is feasible, effective and conforms to principles of \\r\\njustice represents important attributes for measuring success across actions. Adaptation responses that lead to increased risk and impacts are \\r\\nconsidered maladaptation.\\n FAQ 1.3 | What constitutes successful adaptation to climate change? ', 'reranking_score': 0.9957848, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content='Adaptation involves actions to lessen the harm associated with \\r\\nclimate change, or take advantage of potential gains (Smit and \\r\\nWandel 2006). It can seek to reduce present and future exposure \\r\\nto specific climate risks (Adger et al. 2003), mainstream climate \\r\\ninformation into existing planning efforts (Gupta et al. 2010; van der \\r\\nVoorn et al. 2012; van der Voorn et al. 2017), and reduce vulnerability \\r\\n(or increase resilience) of people or communities to the effects of \\r\\nclimate change (Kasperson and Kasperson 2001). There is a body \\r\\nof literature highlighting potential synergies and conflicts between \\r\\nadaptation actions - in any of the three areas above - and mitigation \\r\\nactions - and potential strategies for resolving them (Locatelli \\r\\net al. 2011; Casado-Asensio and Steurer 2014; Duguma et al. 2014;', metadata={'chunk_type': 'text', 'document_id': 'document9', 'document_number': 9.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 2258.0, 'name': 'Full Report. In: Climate Change 2022: Mitigation of Climate Change. Contribution of the WGIII to the AR6 of the IPCC', 'num_characters': 823.0, 'num_tokens': 203.0, 'num_tokens_approx': 201.0, 'num_words': 151.0, 'page_number': 1510, 'release_date': 2022.0, 'report_type': 'Full Report', 'section_header': '14.5.1.2 Linkages with Sustainable Development, Adaptation, \\r\\nLoss and Damage, and Human Rights', 'short_name': 'IPCC AR6 WGIII FR', 'source': 'IPCC', 'toc_level0': '14.5 Multi-level, Multi-actor Governance', 'toc_level1': '14.5.1 International Cooperation at Multiple Governance Levels', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://www.ipcc.ch/report/ar6/wg3/downloads/report/IPCC_AR6_WGIII_FullReport.pdf', 'similarity_score': 0.700871229, 'content': 'Adaptation involves actions to lessen the harm associated with \\r\\nclimate change, or take advantage of potential gains (Smit and \\r\\nWandel 2006). It can seek to reduce present and future exposure \\r\\nto specific climate risks (Adger et al. 2003), mainstream climate \\r\\ninformation into existing planning efforts (Gupta et al. 2010; van der \\r\\nVoorn et al. 2012; van der Voorn et al. 2017), and reduce vulnerability \\r\\n(or increase resilience) of people or communities to the effects of \\r\\nclimate change (Kasperson and Kasperson 2001). There is a body \\r\\nof literature highlighting potential synergies and conflicts between \\r\\nadaptation actions - in any of the three areas above - and mitigation \\r\\nactions - and potential strategies for resolving them (Locatelli \\r\\net al. 2011; Casado-Asensio and Steurer 2014; Duguma et al. 2014;', 'reranking_score': 0.99499834, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content='For decades, communities worldwide have already been adapting to climate change-induced hydrological changes \\r\\nto maintain their livelihood and safety. Adaptation is a multi-faceted process that is implemented differently \\r\\ndepending on the sector affected by changes in the hydrological cycle and the region where these changes happen. \\r\\nFor instance, farmers in the semiarid areas might adapt to changing rain patterns through irrigation (see also \\r\\nFAQ4.4). At the same time, urban dwellers can adopt measures such as rainwater harvesting and other nature-based \\r\\nsolutions. Several principles have been documented as crucial for achieving sustainable adaptation as they support \\r\\ncommunities in becoming more resilient to climate change. However, these principles can be implemented singularly \\r\\nor in tandem, and it is essential to acknowledge that long-term adaptation success is context-specific. Therefore, it \\r\\nis critical to involve local communities in co-designing effective adaptation responses.', metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 1008.0, 'num_tokens': 182.0, 'num_tokens_approx': 221.0, 'num_words': 166.0, 'page_number': 678, 'release_date': 2022.0, 'report_type': 'Full Report', 'section_header': 'Water related adaptation responses in agriculture sector:\\r\\nbenefits, co-benefits with mitigation, and possible maladaptation', 'short_name': 'IPCC AR6 WGII FR', 'source': 'IPCC', 'toc_level0': 'Chapters and Cross-Chapter Papers ', 'toc_level1': 'Chapter 4 Water', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://report.ipcc.ch/ar6/wg2/IPCC_AR6_WGII_FullReport.pdf', 'similarity_score': 0.720182, 'content': 'For decades, communities worldwide have already been adapting to climate change-induced hydrological changes \\r\\nto maintain their livelihood and safety. Adaptation is a multi-faceted process that is implemented differently \\r\\ndepending on the sector affected by changes in the hydrological cycle and the region where these changes happen. \\r\\nFor instance, farmers in the semiarid areas might adapt to changing rain patterns through irrigation (see also \\r\\nFAQ4.4). At the same time, urban dwellers can adopt measures such as rainwater harvesting and other nature-based \\r\\nsolutions. Several principles have been documented as crucial for achieving sustainable adaptation as they support \\r\\ncommunities in becoming more resilient to climate change. However, these principles can be implemented singularly \\r\\nor in tandem, and it is essential to acknowledge that long-term adaptation success is context-specific. Therefore, it \\r\\nis critical to involve local communities in co-designing effective adaptation responses.', 'reranking_score': 0.99424744, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content='Adaptation, in response to current climate change, is reducing climate risks and vulnerability mostly via adjustment of existing systems. Many \\r\\nadaptation options exist and are used to help manage projected climate change impacts, but their implementation depends upon the capacity and \\r\\neffectiveness of governance and decision-making processes. These and other enabling conditions can also support climate resilient development \\r\\n(Section D).\\nCurrent Adaptation and its Benefits\\nC.1 Progress in adaptation planning and implementation has been observed across all sectors and regions, generating multiple \\r\\nbenefits (very high confidence). However, adaptation progress is unevenly distributed with observed adaptation gaps40 (high \\r\\nconfidence). Many initiatives prioritize immediate and near-term climate risk reduction which reduces the opportunity for \\r\\ntransformational adaptation (high confidence). {2.6, 5.14, 7.4, 10.4, 12.5, 13.11, 14.7, 16.3, 17.3, CCP5.2, CCP5.4}', metadata={'chunk_type': 'text', 'document_id': 'document4', 'document_number': 4.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 34.0, 'name': 'Summary for Policymakers. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. 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These and other enabling conditions can also support climate resilient development \\r\\n(Section D).\\nCurrent Adaptation and its Benefits\\nC.1 Progress in adaptation planning and implementation has been observed across all sectors and regions, generating multiple \\r\\nbenefits (very high confidence). However, adaptation progress is unevenly distributed with observed adaptation gaps40 (high \\r\\nconfidence). Many initiatives prioritize immediate and near-term climate risk reduction which reduces the opportunity for \\r\\ntransformational adaptation (high confidence). {2.6, 5.14, 7.4, 10.4, 12.5, 13.11, 14.7, 16.3, 17.3, CCP5.2, CCP5.4}', 'reranking_score': 0.9935619, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content='Adaptation, in response to current climate change, is reducing climate risks and vulnerability mostly via adjustment of existing systems. Many \\r\\nadaptation options exist and are used to help manage projected climate change impacts, but their implementation depends upon the capacity and \\r\\neffectiveness of governance and decision-making processes. These and other enabling conditions can also support climate resilient development \\r\\n(Section D).\\nCurrent Adaptation and its Benefits\\nC.1 Progress in adaptation planning and implementation has been observed across all sectors and regions, generating multiple \\r\\nbenefits (very high confidence). However, adaptation progress is unevenly distributed with observed adaptation gaps40 (high \\r\\nconfidence). Many initiatives prioritize immediate and near-term climate risk reduction which reduces the opportunity for \\r\\ntransformational adaptation (high confidence). {2.6, 5.14, 7.4, 10.4, 12.5, 13.11, 14.7, 16.3, 17.3, CCP5.2, CCP5.4}', metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 975.0, 'num_tokens': 207.0, 'num_tokens_approx': 242.0, 'num_words': 182.0, 'page_number': 32, 'release_date': 2022.0, 'report_type': 'Full Report', 'section_header': 'C: Adaptation Measures and Enabling Conditions', 'short_name': 'IPCC AR6 WGII FR', 'source': 'IPCC', 'toc_level0': 'Summary for Policymakers ', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://report.ipcc.ch/ar6/wg2/IPCC_AR6_WGII_FullReport.pdf', 'similarity_score': 0.721858382, 'content': 'Adaptation, in response to current climate change, is reducing climate risks and vulnerability mostly via adjustment of existing systems. Many \\r\\nadaptation options exist and are used to help manage projected climate change impacts, but their implementation depends upon the capacity and \\r\\neffectiveness of governance and decision-making processes. These and other enabling conditions can also support climate resilient development \\r\\n(Section D).\\nCurrent Adaptation and its Benefits\\nC.1 Progress in adaptation planning and implementation has been observed across all sectors and regions, generating multiple \\r\\nbenefits (very high confidence). However, adaptation progress is unevenly distributed with observed adaptation gaps40 (high \\r\\nconfidence). Many initiatives prioritize immediate and near-term climate risk reduction which reduces the opportunity for \\r\\ntransformational adaptation (high confidence). {2.6, 5.14, 7.4, 10.4, 12.5, 13.11, 14.7, 16.3, 17.3, CCP5.2, CCP5.4}', 'reranking_score': 0.9935619, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content='Frequently Asked Questions\\nFAQ 16.4 | What adaptation-related responses to climate change have already been observed, and do they help \\r\\nreduce climate risk?\\nAdaptation-related responses are the actions taken with the intention of managing risks by reducing vulnerability or exposure to climate \\r\\nhazards. Responses are increasing and expanding across global regions and sectors, although there is still a lot of opportunity for improvement. \\r\\nExamining the adequacy and effectiveness of the responses is important to guide planning, implementation and expansion.\\nThe most frequently reported adaptation-related responses are behavioural changes made by individuals \\r\\nand households in response to drought, flooding and rainfall variability in Africa and Asia. Governments are \\r\\nincreasingly undertaking planning, and implementing policy and legislation, including, for example, new zoning \\r\\nregulations and building codes, coordination mechanisms, disaster and emergency planning, or extension services \\r\\nto support farmer uptake of drought tolerant crops. Local governments are particularly active in adaptation-related \\r\\nresponses, particularly in protecting infrastructure and services, such as water and sanitation. Across all regions, \\r\\nadaptation-related responses are strongly linked to food security, with poverty alleviation a key strategy in the', metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 1356.0, 'num_tokens': 231.0, 'num_tokens_approx': 284.0, 'num_words': 213.0, 'page_number': 2518, 'release_date': 2022.0, 'report_type': 'Full Report', 'section_header': '(a) Low-lying coastal systems', 'short_name': 'IPCC AR6 WGII FR', 'source': 'IPCC', 'toc_level0': 'Chapters and Cross-Chapter Papers ', 'toc_level1': 'Chapter 16 Key Risks across Sectors and Regions', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://report.ipcc.ch/ar6/wg2/IPCC_AR6_WGII_FullReport.pdf', 'similarity_score': 0.723861217, 'content': 'Frequently Asked Questions\\nFAQ 16.4 | What adaptation-related responses to climate change have already been observed, and do they help \\r\\nreduce climate risk?\\nAdaptation-related responses are the actions taken with the intention of managing risks by reducing vulnerability or exposure to climate \\r\\nhazards. Responses are increasing and expanding across global regions and sectors, although there is still a lot of opportunity for improvement. \\r\\nExamining the adequacy and effectiveness of the responses is important to guide planning, implementation and expansion.\\nThe most frequently reported adaptation-related responses are behavioural changes made by individuals \\r\\nand households in response to drought, flooding and rainfall variability in Africa and Asia. Governments are \\r\\nincreasingly undertaking planning, and implementing policy and legislation, including, for example, new zoning \\r\\nregulations and building codes, coordination mechanisms, disaster and emergency planning, or extension services \\r\\nto support farmer uptake of drought tolerant crops. Local governments are particularly active in adaptation-related \\r\\nresponses, particularly in protecting infrastructure and services, such as water and sanitation. Across all regions, \\r\\nadaptation-related responses are strongly linked to food security, with poverty alleviation a key strategy in the', 'reranking_score': 0.991938, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content='Current observed climate impacts and expected future risks include stronger and longer heat waves, unprecedented \\r\\ndroughts and floods, accelerating sea level rise and storm surges affecting many geographies and communities. \\r\\nPeople around the world are increasingly perceiving changing climates, regarding these changes as significant and \\r\\nconsidering climate action as a matter of high urgency. In particular, marginalised and poor people, as well as island \\r\\nand coastal communities, experience relatively higher risks and vulnerability. The available evidence suggests that \\r\\ncurrent adaptation efforts may be insufficient to help ensure sustainable development and other societal goals in \\r\\nmany communities worldwide even under the most optimistic GHG emissions scenarios.\\nClimate change adaptation is, therefore, urgent to the extent that meeting important societal goals requires \\r\\nimmediate and long-term action by governments, business, civil society and individuals at a scale and speed \\r\\nsignificantly faster than that represented by current trends.\\nFrequently Asked Questions', metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 1090.0, 'num_tokens': 182.0, 'num_tokens_approx': 218.0, 'num_words': 164.0, 'page_number': 190, 'release_date': 2022.0, 'report_type': 'Full Report', 'section_header': 'FAQ 1.2 | Is climate change adaptation urgent?', 'short_name': 'IPCC AR6 WGII FR', 'source': 'IPCC', 'toc_level0': 'Chapters and Cross-Chapter Papers ', 'toc_level1': 'Chapter 1 Point of Departure and Key Concepts', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://report.ipcc.ch/ar6/wg2/IPCC_AR6_WGII_FullReport.pdf', 'similarity_score': 0.679264843, 'content': 'Current observed climate impacts and expected future risks include stronger and longer heat waves, unprecedented \\r\\ndroughts and floods, accelerating sea level rise and storm surges affecting many geographies and communities. \\r\\nPeople around the world are increasingly perceiving changing climates, regarding these changes as significant and \\r\\nconsidering climate action as a matter of high urgency. In particular, marginalised and poor people, as well as island \\r\\nand coastal communities, experience relatively higher risks and vulnerability. The available evidence suggests that \\r\\ncurrent adaptation efforts may be insufficient to help ensure sustainable development and other societal goals in \\r\\nmany communities worldwide even under the most optimistic GHG emissions scenarios.\\nClimate change adaptation is, therefore, urgent to the extent that meeting important societal goals requires \\r\\nimmediate and long-term action by governments, business, civil society and individuals at a scale and speed \\r\\nsignificantly faster than that represented by current trends.\\nFrequently Asked Questions', 'reranking_score': 0.9919067, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content='As discussed in Chapter 16, adaptation is a key mechanism for \\r\\nmanaging climate risks, and therefore for pursuing CRD. The lower \\r\\nestimates in Table 18.2 are associated with higher levels of adaptation \\r\\nand more conducive development conditions. Furthermore, additional \\r\\nadaptation demand is associated with greater levels of climate change. \\r\\nAdaptation is a broad term referring to many different levels of response \\r\\nand options for natural and human systems, from individuals, specific \\r\\nlocations and specific technologies, to nations, markets, global dynamics \\r\\nand strategies at the system level. Adaptation also includes endogenous \\r\\nreflexive and exogenous policy responses. Perspectives on limits to \\r\\nadaptation, synergies, trade-offs and feasibility therefore depend on \\r\\nwhere the boundaries are drawn and the objective. Overall, there are \\r\\na broad range of adaptation options relevant to reducing risks posed \\r\\nby climate change to development. However, current understanding \\r\\nof how such options are implemented in practice, their effectiveness \\r\\nacross a range of possible climate futures and their potential limits, is \\r\\nmodest.', metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. 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Furthermore, additional \\r\\nadaptation demand is associated with greater levels of climate change. \\r\\nAdaptation is a broad term referring to many different levels of response \\r\\nand options for natural and human systems, from individuals, specific \\r\\nlocations and specific technologies, to nations, markets, global dynamics \\r\\nand strategies at the system level. Adaptation also includes endogenous \\r\\nreflexive and exogenous policy responses. Perspectives on limits to \\r\\nadaptation, synergies, trade-offs and feasibility therefore depend on \\r\\nwhere the boundaries are drawn and the objective. Overall, there are \\r\\na broad range of adaptation options relevant to reducing risks posed \\r\\nby climate change to development. However, current understanding \\r\\nof how such options are implemented in practice, their effectiveness \\r\\nacross a range of possible climate futures and their potential limits, is \\r\\nmodest.', 'reranking_score': 0.99029154, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content='Adaptation plays a key role in reducing risks and vulnerability \\r\\nfrom climate change. Implementing adaptation and mitigation \\r\\nactions together with the SDGs helps to exploit synergies, \\r\\nreduce trade-offs and makes all three more effective. From \\r\\na risk perspective, limiting atmospheric greenhouse gas (GHG) \\r\\nconcentrations reduces climate-related hazards while adaptation and \\r\\nsustainable development reduce exposure and vulnerability to those \\r\\nhazards. Adaptation facilitates development, which is increasingly \\r\\nhindered by impacts and risks from climate change. Development \\r\\nfacilitates adaptation by expanding the resources and capacity to \\r\\nreduce climate risks and vulnerability. {1.1.3; 1.5.1; 1.5.3}', metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 716.0, 'num_tokens': 147.0, 'num_tokens_approx': 161.0, 'num_words': 121.0, 'page_number': 135, 'release_date': 2022.0, 'report_type': 'Full Report', 'section_header': 'Executive Summary', 'short_name': 'IPCC AR6 WGII FR', 'source': 'IPCC', 'toc_level0': 'Chapters and Cross-Chapter Papers ', 'toc_level1': 'Chapter 1 Point of Departure and Key Concepts', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://report.ipcc.ch/ar6/wg2/IPCC_AR6_WGII_FullReport.pdf', 'similarity_score': 0.676665783, 'content': 'Adaptation plays a key role in reducing risks and vulnerability \\r\\nfrom climate change. Implementing adaptation and mitigation \\r\\nactions together with the SDGs helps to exploit synergies, \\r\\nreduce trade-offs and makes all three more effective. From \\r\\na risk perspective, limiting atmospheric greenhouse gas (GHG) \\r\\nconcentrations reduces climate-related hazards while adaptation and \\r\\nsustainable development reduce exposure and vulnerability to those \\r\\nhazards. Adaptation facilitates development, which is increasingly \\r\\nhindered by impacts and risks from climate change. Development \\r\\nfacilitates adaptation by expanding the resources and capacity to \\r\\nreduce climate risks and vulnerability. {1.1.3; 1.5.1; 1.5.3}', 'reranking_score': 0.9901782, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content=\"The IPCC defines adaptation as: 'in human systems, the process of \\r\\nadjustment to actual or expected climate and its effects, in order to \\r\\nmoderate harm or exploit beneficial opportunities. In natural systems, \\r\\nthe process of adjustment to actual climate and its effect; human \\nintervention may facilitate adjustment to expected climate and its \\r\\neffects' (Annex I: Glossary).\", metadata={'chunk_type': 'text', 'document_id': 'document9', 'document_number': 9.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 2258.0, 'name': 'Full Report. In: Climate Change 2022: Mitigation of Climate Change. 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In natural systems, \\r\\nthe process of adjustment to actual climate and its effect; human \\nintervention may facilitate adjustment to expected climate and its \\r\\neffects' (Annex I: Glossary).\", 'reranking_score': 0.9898303, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content='Adaptation In human systems, the process of adjustment to actual \\r\\nor expected climate and its effects, in order to moderate harm or exploit \\r\\nbeneficial opportunities. In natural systems, the process of adjustment \\r\\nto actual climate and its effects; human intervention may facilitate \\r\\nadjustment to expected climate and its effects. See also Adaptation \\r\\noptions, Adaptive capacity, and Maladaptive actions (Maladaptation).\\n Adaptation limits \\n\\n[Note: For a discussion of the term forest and related terms such as \\r\\nafforestation, reforestation and deforestation, see the 2006 IPCC Guidelines \\r\\nfor National Greenhouse Gas Inventories and their 2019 Refinement, and \\r\\ninformation provided by the United Nations Framework Convention on \\r\\nClimate Change (IPCC 2006, 2019; UNFCCC 2021a,b).] \\nSee also Deforestation, Reducing Emissions from Deforestation \\r\\nand Forest Degradation (REDD+), Reforestation, Anthropogenic \\r\\nRemovals, and Carbon dioxide removal (CDR).', metadata={'chunk_type': 'text', 'document_id': 'document9', 'document_number': 9.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 2258.0, 'name': 'Full Report. In: Climate Change 2022: Mitigation of Climate Change. 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See also Adaptation \\r\\noptions, Adaptive capacity, and Maladaptive actions (Maladaptation).\\n Adaptation limits \\n\\n[Note: For a discussion of the term forest and related terms such as \\r\\nafforestation, reforestation and deforestation, see the 2006 IPCC Guidelines \\r\\nfor National Greenhouse Gas Inventories and their 2019 Refinement, and \\r\\ninformation provided by the United Nations Framework Convention on \\r\\nClimate Change (IPCC 2006, 2019; UNFCCC 2021a,b).] \\nSee also Deforestation, Reducing Emissions from Deforestation \\r\\nand Forest Degradation (REDD+), Reforestation, Anthropogenic \\r\\nRemovals, and Carbon dioxide removal (CDR).', 'reranking_score': 0.9870296, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'}),\n", + " Document(page_content='Because the impacts of climate change affect people and nature in so many different ways, the specific goals of \\r\\nadaptation depend on the impact being managed and the action being taken. For human systems, adaptation \\r\\nincludes actions aimed at reducing a specific risk, such as by fortifying a building against flooding, or actions aimed \\r\\nat multiple risks, such as requiring climate risk assessments in financial reporting in anticipation of different kinds \\r\\nof risk. At the local level, communities can take actions that include updating building codes and land use plans, \\r\\nimproving soil management, enhancing water use efficiency, supporting migrants and taking measures to reduce \\r\\npoverty. For natural systems, adaptation includes organisms changing behaviours, migrating to new locations and \\r\\ngenetic modifications in response to changing climate conditions. The goals for these adaptation actions can relate \\r\\nto health, water or food security, jobs and employment, poverty eradication and social equity, biodiversity and \\r\\necosystem services, among others. Articulating the goals of adaptation thus requires engaging with the concepts of \\r\\nequity, justice and effectiveness at the international, national and local levels.\\n177177', metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. 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For human systems, adaptation \\r\\nincludes actions aimed at reducing a specific risk, such as by fortifying a building against flooding, or actions aimed \\r\\nat multiple risks, such as requiring climate risk assessments in financial reporting in anticipation of different kinds \\r\\nof risk. At the local level, communities can take actions that include updating building codes and land use plans, \\r\\nimproving soil management, enhancing water use efficiency, supporting migrants and taking measures to reduce \\r\\npoverty. For natural systems, adaptation includes organisms changing behaviours, migrating to new locations and \\r\\ngenetic modifications in response to changing climate conditions. The goals for these adaptation actions can relate \\r\\nto health, water or food security, jobs and employment, poverty eradication and social equity, biodiversity and \\r\\necosystem services, among others. 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Different types of adaptation have been distinguished, \\r\\nincluding anticipatory versus reactive, autonomous versus planned \\r\\nand incremental versus transformational adaptation (Chapters 16-\\r\\n18; IPCC WGII glossaries for the TAR, AR4, AR5, and AR6 (Annex II)). \\r\\nAdaptation is often seen as having five general stages: (a) awareness, \\r\\n(b) assessment, (c) planning, (d) implementation and (e) M&E (Moser \\r\\nand Boykoff, 2013; Jones et al., 2014; Mimura et al., 2014; Noble et al.,', metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. 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In natural \\r\\nsystems, adaptation is the process of adjustment to actual climate \\r\\nand its effects; human intervention may facilitate adjustment to \\r\\nexpected climate and its effects (see Annex II: Glossary). Adaptation \\r\\nplanning in human systems generally entails a process of iterative risk \\r\\nmanagement. Different types of adaptation have been distinguished, \\r\\nincluding anticipatory versus reactive, autonomous versus planned \\r\\nand incremental versus transformational adaptation (Chapters 16-\\r\\n18; IPCC WGII glossaries for the TAR, AR4, AR5, and AR6 (Annex II)). \\r\\nAdaptation is often seen as having five general stages: (a) awareness, \\r\\n(b) assessment, (c) planning, (d) implementation and (e) M&E (Moser \\r\\nand Boykoff, 2013; Jones et al., 2014; Mimura et al., 2014; Noble et al.,', 'reranking_score': 0.98532796, 'query_used_for_retrieval': 'What is climate change adaptation?', 'sources_used': ['IPCC'], 'question_used': 'What is climate change adaptation?'})]" ] }, - "execution_count": 50, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" }