search
Retrieve relevant notes from your markdown vault using natural-language queries, combining lexical search and semantic ranking for accurate recall of facts and decisions.
Instructions
Hybrid retrieval over the read-only index: fuses SQLite FTS5 lexical search with sqlite-vec dense (semantic) ranking via reciprocal-rank fusion, degrading gracefully to lexical-only when embeddings are unavailable. Returns ranked hits (source markdown path, heading, fused score, matched channels, a snippet, and git recency) so an agent can recall facts, notes, and decisions from the vault by a natural-language query. k caps the number of hits (default 10).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Natural-language query to recall notes by. | |
| k | No | Maximum number of ranked hits to return. |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| degraded_lexical_only | Yes | ||
| degraded_reason | Yes | ||
| manual_reindex_recommended | Yes | ||
| hits | Yes |