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title: README |
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emoji: 🕸️ |
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colorTo: gray |
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sdk: static |
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pinned: false |
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--- |
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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://graphrag.com) |
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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) |
