What problem does it solve?
Finding the right information inside a growing collection of personal notes, meeting transcripts, and documents becomes slow and unreliable with simple keyword search.
Core Features & Use Cases
- Hybrid retrieval (BM25 + vector search): Combines fast lexical matching with semantic retrieval for better recall.
- LLM reranking for higher-quality results: Improves ordering of the most relevant matches using reranker models.
- Local indexing and MCP/CLI access: Runs on-device without cloud dependencies, and can expose tools via MCP to integrate with Zeus Agent.
- Use cases: “What did we decide about X?”, “Find notes about Y concept,” “Search across projects and meetings,” and “Retrieve exact documents once you have a match.”
Quick Start
Ask your agent to set up qmd by querying your notes with hybrid search for the phrase “what decisions were made about the database migration”.