Enterprise RAG
Your contracts, SOPs, tickets and reports turned into something your team can actually ask questions of, with every answer showing its sources.
- TriggerQuestion asked
- pgvectorHybrid retrieval
- SSOPermission filter
- RerankerRerank passages
- ClaudeAnswer with citations
A question arrives, the system pulls the passages that answer it, checks it is allowed to show them, and answers with citations you can open.
The problem with searching your own documents
Institutional knowledge sits in places nobody can search properly. A clause is in a PDF from 2021. The reason a policy changed is in a Slack thread. The number the board asked for is in a spreadsheet three people have edited since. Search finds filenames. It does not find answers.
Retrieval-augmented generation fixes the shape of that problem. Rather than asking a model what it remembers, you give it the specific passages that answer the question and ask it to answer from those alone. The result is grounded in your material, and every claim points back at a document you can open.
Permissions are part of retrieval, not an afterthought
The fastest way to lose trust in an internal assistant is for it to tell someone something they were not cleared to see. We mirror your existing access rules into the retrieval layer, so the filter happens before the model ever sees a passage, not after.
That means a salesperson and a finance lead asking the same question get answers drawn from different documents, exactly as they would if they searched by hand.
Measured, not assumed
We build an evaluation set from real questions your team asks, with known-correct answers. Every change to chunking, retrieval or prompting is scored against it. When accuracy drops, you find out from the dashboard rather than from an angry colleague.
That evaluation harness is yours. It is the thing that lets you upgrade a model in a year's time and know within an hour whether it made your system better or worse.