Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
Enables AI tools to securely search and retrieve relevant, source-attributed chunks from private local documents via MCP, without sending document content to third-party services.
Turns a local folder of notes and documents into a searchable knowledge base for AI assistants via MCP, enabling semantic search, reading, and adding notes entirely on-device.
Enables AI assistants to search and read offline documentation from synced libraries via MCP tools, providing hybrid keyword and semantic search without network calls.