Configuration
| Option | Required | Description |
|---|---|---|
| Name | No | Label for the step in the workflow canvas. |
| Knowledge Base | Yes | The knowledge base to search, selected in Knowledge Base. |
| Search Query | Yes | The query string. This field supports workflow variables through Insert Variable. |
| Search Type | No | One of Hybrid, Semantic, or Keyword. Defaults to Hybrid. |
| Result Limit | No | Maximum number of matching chunks to return (1–20, default 5). |
| Score Threshold | No | Minimum relevance score required to include a result (0.0–1.0, default 0.0). A value of 0.0 returns all results up to the limit regardless of score. |
| When the step fails | No | Controls whether the workflow should Terminate Workflow or Continue if this step fails. |
Search Type
- Hybrid — Combines vector similarity and keyword matching. Recommended for most queries.
- Semantic — Pure vector similarity search. Best for conceptual or natural-language queries.
- Keyword — Full-text keyword search. Best for exact-match or structured queries.
Result Limit
Controls how many chunks are returned. Higher limits increase context available to downstream steps but may also increase noise. The slider accepts values from 1 to 20.Score Threshold
Filters out low-relevance results. Raise this value (toward 1.0) to return only highly confident matches. Leave it at 0.0 to return all results up to the limit.Output
This step returns the matching chunks from the knowledge base:Cost
Each run of this step costs 1 task.Example
Add Search Knowledge Base from the Knowledge Base group in Search steps…. Set Knowledge Base to the knowledge base you want to query. Enter the user’s question in Search Query, or insert a variable from a start input:{{start.question}}.
Leave Search Type as Hybrid unless you have a specific reason to prefer pure semantic or keyword search.
Adjust Result Limit to control how many chunks are returned. Start with 5 and increase if answers seem incomplete.
Set Score Threshold to 0.5 or higher if you want to exclude low-confidence matches.
Click Run in the step header to test the search. Review the returned chunks in Output, then connect the output to an AI Prompt step to generate an answer.
Notes
- The effective search type falls back to the knowledge base’s own default if the step setting is left at its default value.
- Score values are normalised to the 0–1 range. The exact meaning depends on the underlying embedding model and search backend.
- Search queries and results are logged as knowledge base search audit records for monitoring.

