tobi/qmd

This page introduces an external open-source repository. It is not an HDATF product.

What it does

QMD is a local CLI search engine for markdown notes, meeting transcripts and documentation. It combines BM25 full-text search, vector search and LLM reranking, all running on the device with GGUF models.

How it helps ATF

Its mix of keyword search, vector search and reranking, plus a tree of collection descriptions that guides document choice, is worth comparing for Company Brain and for searching LabChin research notes.

License

MIT Permissive. Commercial use and changes are allowed if the copyright notice is kept.

More in this category

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• VectifyAI/PageIndex
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• alibaba/zvec
  An open-source vector database that runs in-process, embedded directly into applications. It offers similarity search and full-text search, and is used as a file store backend in the ReMe agent memory kit.
• HKUDS/DeepTutor
  DeepTutor is a personalized AI tutoring system with chats, knowledge bases, quizzes and books, plus a CLI for agents. Recent releases add search across the whole conversation history and a tool that looks beyond the knowledge base.
• ItzCrazyKns/Vane
  A self-hosted AI answering engine that searches the web through SearxNG and answers with cited sources. It works with local models through Ollama or with cloud providers, and can also cover discussions, academic papers and uploaded documents.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.