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A pipeline for building a local Knowledge Graph RAG system by extracting entities and relationships from PDFs, storing them in Neo4j, and querying them using local LLMs via Ollama.
Defensibility
stars
53
forks
10
This project is a classic 'tutorial-style' repository that demonstrates how to glue together several popular open-source tools (LangChain, Neo4j, Ollama). With only 53 stars and zero recent activity (velocity: 0.0/hr) over nearly two years, it lacks the momentum or community necessary to be a serious contender in the GraphRAG space. The defensibility is low (2/10) because it uses standard LangChain templates for entity extraction and Neo4j storage, which are now largely commoditized. Since this project was created, Microsoft has released its official 'GraphRAG' library, and LlamaIndex has introduced highly sophisticated PropertyGraphIndex features, both of which offer significantly more robust extraction and global/local search capabilities than this prototype. Furthermore, Neo4j has integrated GenAI features directly into its ecosystem, making third-party 'glue' code like this less relevant. The primary value of this repo is as a learning resource for local-only setups, but it faces immediate displacement by more mature frameworks and official platform integrations.
TECH STACK
INTEGRATION
reference_implementation
READINESS