QMD Semantic Search for Obsidian
QMD Semantic Search provides vector-based semantic search for your Obsidian vault, with keyword fallback for traditional search.
Chinese summary
为 Obsidian 库提供基于向量的语义搜索，并支持关键词回退。
Key Use Cases
- Discovering related ideas across different notes
- Retrieving content based on vague queries
- Enhancing search recall in large vaults
Pros
- Semantic understanding of queries
- Keyword fallback ensures no missed results
- Integrates with Obsidian's native search
Limitations
- Requires initial indexing of notes
- May be slower than plain text search on very large vaults
- Dependency on external service or local model
Tags
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