Reasoning search: how SNAP answers training questions with cited sources
product
Reasoning search lets teams query their own knowledge graph and get answers grounded in cited internal sources — not scraped web text.
Before a training video exists, someone usually asks a question: what's our current refund policy?, how do we position the new SKU against the incumbent?, which slide covers the updated SOC 2 scope? Reasoning search is the layer that answers those questions from your own material — and shows its work.
What reasoning search does differently
Keyword search returns documents. Vanilla RAG returns a paragraph and hopes you trust it. Reasoning search plans a multi-step query across the enterprise knowledge graph, pulls the specific passages that support an answer, and returns the answer with citations pointing back to the source file, page, or transcript timestamp.
Why it matters for training teams
- Faster script drafting. SMEs stop hunting through drives. The answer, with sources, is one query away.
- Auditable content. Every claim in a generated video traces to a citation. Compliance can verify without re-reading the source library.
- Fewer contradictions. When two docs disagree, reasoning search surfaces the conflict instead of silently picking one.
Where it fits
Reasoning search sits between the source layer and the generation layer. Ask a question and you get a cited answer. Ask for a video and the same grounding pipeline drafts the script. Same sources, same citations, same governance.
Read the full walkthrough of reasoning search and cited answers, or see how it plugs into the Silverberry AI Platform.