QMD

Fast BM25 keyword search across your markdown collections

Vector similarity search using semantic embeddings

Best quality search combining keyword and semantic search with LLM reranking (uses more resources)

Create a new indexed collection from a folder of markdown files

View, edit, rename, and remove collections

Scan all collections for new or changed files and update the index

Add a context description to improve search relevance for a collection or document

View, edit, and remove context descriptions

Retrieve a document by its path or document ID

View index health, collection stats, and embedding status

Generate vector embeddings for semantic search (runs in background)

Remove orphaned data and cache from the QMD index

Delete all QMD data including collections, contexts, and embeddings (requires confirmation)