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title: README
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# Neo4j Open Source Graph Database
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> Knowledge graphs are the perfect companion providing memory and context to the language skills of LLMs
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* [Generative AI with Neo4j](https://neo4j.com/generativeai/)
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* [Deeplearning AI Knowledge Graph Course](https://dev.neo4j.com/dlai-kg)
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* [Neo4j Generative AI Integrations, Tools, Demos](https://neo4j.com/labs/genai-ecosystem)
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## GraphRAG
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Advanced RAG Retrievers that use graph data structures to provide relevant and
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* [GraphRAG Manifesto](https://neo4j.com/blog/graphrag-manifesto/)
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* [GraphRAG retriever in neo4j-graphrag](https://neo4j.com/docs/neo4j-graphrag-python/current/user_guide_rag.html)
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* [GraphRAG Patterns](https://graphr.ag)
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* [GraphRAG articles](https://neo4j.com/developer-blog/tagged/graphrag/)
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## Text2Cypher Graph Query Generation
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Use a graph schema and user question to generate Knowledge Graph Query for Retrieval
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* Datasets on HF (https://huggingface.co/neo4j)
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* Finetuned Models on HF (Gemma2-9b, Llama31-8b)
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## Knowledge Graph Construction
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Construct Knowledge Graphs from unstructured Text using LLMs
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* [LLM Graph Builder](https://neo4j.com/labs/genai-ecosystem/llm-graph-builder)
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* [KG Construction in neo4j-graphrag](https://neo4j.com/docs/neo4j-graphrag-python/current/user_guide_kg_builder.html)
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