search_nodes
Search a knowledge graph by combining keyword matching with semantic similarity, re-ranking results based on recency, project affinity, and other contextual signals.
Instructions
Search the knowledge graph using hybrid BM25 + semantic search.
When sqlite-vec is installed, combines FTS5 keyword matching with vector cosine similarity via Reciprocal Rank Fusion. Falls back to FTS5-only otherwise. Results are re-ranked with 6 contextual signals (recency, project affinity, graph proximity, richness, canonical facts, session).
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| project | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |