Update app_utils.py

app_utils.py

@@ -14,7 +14,7 @@ from langchain.vectorstores import Chroma # Chroma is a class in the langchain.v
 from langchain.document_loaders import DirectoryLoader #       
 from langchain.embeddings.openai import OpenAIEmbeddings # OpenAIGPTEmbeddings
 from langchain.text_splitter import CharacterTextSplitter #     CharacterTextSplitter is a class in the langchain.text_splitter module that can be used to split text into chunks.
-from langchain.document import Document
+
 
 OPENAI_API_KEY = os.getenv('OPENAI_API_KEY')
 AWS_ACCESS_KEY_ID = os.getenv('AWS_ACCESS_KEY_ID')
@@ -46,8 +46,8 @@ def initialize_knowledge_base():
     embeddings = []
     openAI_embeddings = OpenAIEmbeddings()
     for text in doc_texts:
-        doc = Document.from_text(text)
-        embedding = Chroma.from_documents(doc, openAI_embeddings)
+        #doc = Document.from_text(text)
+        embedding = openAI_embeddings.embed(text)
         embeddings.append(embedding)
     
     vStore = np.concatenate(embeddings, axis=0)