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Rajaguhan437 / obsidian-mcp-semantic-metagraph

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Obsidian MCP-RAG server for AI agents [Local & Cloud] with full-note, heading-aware semantic retrieval, lexical search, graph navigation, passage provenance, and vault manipulation tools with a live-monitoring web-dashboard.

python rust mcp obsidian stdin embedding-models semantic-search graph-navigation ai-agents rag vector-search obsidian-vault semantic-retrieval lexical-search rag-pipeline mcp-tools openai-compatible snowflake-embed hermes-skill graph-aware-rag
  • Updated Aug 30, 2026
  • Rust

pacoreyes / graph_rag_part2

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

docker neo4j pinecone gemini-api pydantic cloud-run polars generative-ai chainlit langgraph graphrag agentic-systems curl-cffi snowflake-embed
  • Updated Feb 18, 2026
  • Python

pacoreyes / graph_rag_part1

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This is the part 1 of a GraphRAG system, which implements the Data Pipeline orchestrated by Dagster, where the data is ingested from multiple sources for building a knowledge graph in Neo4j Aura and an embedding model in Pinecone. The domain: ‘Electronic’ music genre. Contact me to see a demo.

sparql wikidata data-engineering wikipedia-api data-pipeline pinecone gemini-api pydantic dagster polars llms msgspec tiktoken curl-cffi snowflake-embed
  • Updated Feb 17, 2026
  • Python

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