hebbrix_search
Retrieve semantically relevant memories before answering questions that rely on prior context, decisions, or user preferences.
Instructions
Semantic search over memories. Always call this BEFORE answering questions that depend on prior context, decisions, or user preferences.
Zero-relevance padding rows are always dropped. If the fast API returns only
uncalibrated nearest-neighbour candidates with no lexical anchor, Hebbrix
automatically verifies them with calibrated retrieval and suppresses noise.
Raise min_score (0.0-1.0) to request an explicit absolute relevance floor.
Returns {"query", "count", "results": [{"id","content","score"}]}.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | ||
| min_score | No | ||
| collection_id | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||