qmd

You can search markdown notes locally using keyword, semantic, or deep search strategies. It processes your personal knowledge base and past conversations directly on your device to retrieve relevant information.

Semantic search finds information based on meaning rather than exact keywords. It enables you to discover relevant notes and documents in your markdown knowledge base even when different words are used.

You can find past conversations stored in markdown by querying your local index. The skill uses query expansion, keyword matching, and semantic re-ranking to accurately retrieve relevant past chat logs.

Yes, you can retrieve the full content of specific documents found during searches. After identifying a relevant markdown file through search results, the skill facilitates retrieving its complete text.

Yes, deep search improves markdown retrieval accuracy by combining query expansion, keywords, semantic vector search, and re-ranking. This multi-method approach ensures highly accurate results for complex queries.

You can check the index status of your markdown notes to view available collections and document counts. This status check helps verify that your local knowledge base is properly indexed for searching.