Documentation ›Your AI agent
Search Settings (RAG)
Knowledge fragments per question
How many pieces of your knowledge base the agent reads for each question. The field goes up to 20; a plan may allow fewer.
1-2: Precise, focused answers. Good for simple questions.
3: Balanced — the default.
4 and more: More context, but may include irrelevant info.
Relevance strictness
Minimum similarity score (0.0 to 1.0). Only pieces above this score are used.
0.1-0.2: Loose matching. More results, may include weakly related.
0.3: Balanced — the default.
0.5+: Strict. Only highly relevant, may miss some answers.
Example:
Customer asks: "What are your prices?"
With 3 fragments per question and strictness 0.3, the agent reads the 3 most relevant pieces about pricing.
If threshold is too high (0.7), it might not find anything and agent says "I don't know".