senso-search

To ground AI responses with verified content, you can search a Senso knowledge base to retrieve factual answers, source chunks, and content IDs. This ensures AI outputs are traceable and grounded in organization-specific data.

Available knowledge base search variants include Full Search for AI answers with sources, Context Search for chunks only, and Content Search for document IDs and titles. Each variant returns JSON-formatted results for verification.

Yes, searching your Senso knowledge base requires the senso CLI and a valid SENSO_API_KEY. You must configure these prerequisites before executing search queries or retrieving grounded content.

Yes, you can get JSON-formatted output containing source chunks and content IDs for compliance checks. This provides the traceability needed to verify factual backing in internal Q&A and compliance scenarios.

Use context search instead of full search when you only need raw text chunks without an AI-generated answer. Context search retrieves source chunks directly, whereas full search synthesizes an AI answer alongside the sources.

The best way to build a knowledge-grounded assistant for internal Q&A is using a Senso knowledge base to retrieve verified content. This approach provides factual backing, source chunks, and content IDs for accurate, traceable responses.