Reasoning search across company data: how cited answers work
reasoningsearch
A closer look at reasoning search: how it combines scattered company data, answers questions, and shows the sources behind each answer.
Keyword search returns documents. Reasoning search returns an answer and shows where it came from. For teams with knowledge spread across many tools, that difference decides whether people trust what they find.
What it does
Reasoning search reads across the files, calls, notes, and pages saved in your company memory, connects the relevant pieces, and responds with an answer grounded in them.
Why sources matter
An answer you can't check is a guess. Each response points back to the underlying material so people can open it and verify. The walkthrough on cited answers goes deeper.
How the knowledge graph helps
Connections by client, topic, and project in the knowledge graph let the search pull related items that share no keywords.
Questions it handles well
- What did we decide with this client, and why?
- Which projects touched this topic?
- What patterns show up across recent calls?
Limits worth knowing
Answers are only as good as what has been captured. Gaps in the memory become gaps in the answers, and permissions still apply to who can see what. See trust and controls.