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An open-source Agentic RAG solution for seamless local Vector store retrieval and real-time web search. Automatically decides whether to query your internal Vector store or scout the Live Web for the most relevant information.

  • Updated Jan 16, 2026
  • Jupyter Notebook

This is the part 2 of a GraphRAG system, in which the user interacts with the data through 2 data structures: vector database (Chroma DB) and graph database (Neo4j). I exploit the probabilism of vector embedding and the determinism of a knowledge graph to minimise hallucination and maximise explainability. The domain: ‘Electronic’ music genre.

  • Updated Jan 21, 2026
  • Python

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