kb.search
Search the knowledge base using text or vector similarity to find relevant documents. Optionally filter by project and truncate results to control content length.
Instructions
Search the knowledge base using SQLite FTS5 by default; optionally uses Qdrant vector similarity when a vector is provided. Tip: call kb.index first to read the table of contents before searching blind.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | ||
| vector | No | ||
| qdrantUrl | No | ||
| project_id | No | Optional project ID to search only project-scoped documents | |
| qdrantCollection | No | ||
| max_content_length | No | Truncate content to this many characters. Truncated results include truncated:true. Omit to return full content. |