---
title: README
emoji: 🕸️
colorFrom: purple
colorTo: gray
sdk: static
pinned: false
---

# Neo4j Open Source Graph Database

> Knowledge graphs are the perfect companion providing memory and context to the language skills of LLMs

* [Generative AI with Neo4j](https://neo4j.com/generativeai/)
* [Deeplearning AI Knowledge Graph Course](https://dev.neo4j.com/dlai-kg)
* [Neo4j Generative AI Integrations, Tools, Demos](https://neo4j.com/labs/genai-ecosystem)

## GraphRAG

Advanced RAG Retrievers that use graph data structures to provide relevant and 

* [GraphRAG Manifesto](https://neo4j.com/blog/graphrag-manifesto/)
* [GraphRAG retriever in neo4j-graphrag](https://neo4j.com/docs/neo4j-graphrag-python/current/user_guide_rag.html)
* [GraphRAG Patterns](https://graphr.ag)
* [GraphRAG articles](https://neo4j.com/developer-blog/tagged/graphrag/)

## Text2Cypher Graph Query Generation

Use a graph schema and user question to generate Knowledge Graph Query for Retrieval

* Datasets on HF (https://huggingface.co/neo4j)
* Finetuned Models on HF (Gemma2-9b, Llama31-8b)

## Knowledge Graph Construction 

Construct Knowledge Graphs from unstructured Text using LLMs

* [LLM Graph Builder](https://neo4j.com/labs/genai-ecosystem/llm-graph-builder)
* [KG Construction in neo4j-graphrag](https://neo4j.com/docs/neo4j-graphrag-python/current/user_guide_kg_builder.html)