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Ask graph-aware questions and search Obsidian vaults with local-first AI retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Graph RAG MCP Server for Obsidian" yet — see the docs or source repo.
Using my Obsidian vault, identify topic relationships, shared concepts, and key differences among notes related to retrieval-augmented generation, then summarize them with graph relationships.
A graph-structured summary showing linked notes, core themes, and important differences.
Based on my Obsidian notes, answer: "What MCP client integration methods have I documented before?" and cite the relevant note titles or paths.
An accurate answer grounded in the notes, with cited note sources for follow-up reading.
Search my Obsidian vault for notes about Gemini 2.5 Flash and identify how it connects to ChromaDB, graph relationships, and the Q&A system.
A list of relevant notes plus the connection paths and context linking those topics.
Search, read, and list Obsidian notes with natural language semantic retrieval.
Search your Obsidian second brain semantically and retrieve relevant knowledge fast.
Ingest documents into Neo4j to build and query a knowledge graph.
Connect AI to an Obsidian vault for notes, semantic search, and memory.
Connect AI to your Obsidian vault for note reading, writing, search, and organization.
Search Obsidian vaults semantically with graph context across multiple knowledge bases.