Accuracy
The answers are wrong — or unverifiable.
Retrieval misses, hallucinations leak through, and there's no way for users to check the source. No evaluation in place to even measure it.
Offering · Enterprise Knowledge System
Production-grade RAG and knowledge systems — source integrations, retrieval with citations, role-based access, audit logging, and an evaluation harness so you know it's working. Not a demo.
Who It's For
Accuracy
Retrieval misses, hallucinations leak through, and there's no way for users to check the source. No evaluation in place to even measure it.
Permissions
The knowledge system works — until legal asks how role-based access, document-level ACLs, and audit logging are enforced. They aren't.
Integration
SharePoint, Confluence, Drive, S3, internal databases. None of them talk to each other, and the ingestion pipeline is a fragile script.
Deliverables
A production-grade RAG system, integrated, evaluated, governed.
01
Connectors for SharePoint, Confluence, Google Drive, S3, and internal databases. Incremental sync, change capture, and source-of-truth resolution.
02
Chunking, embedding, hybrid search (lexical + vector), reranking, and query rewriting. Tuned for your domain, not a starter template.
03
Every answer cites the source. Users click through to the exact passage and document version that produced the answer.
04
Document-level ACLs flow through retrieval — users only see what they're authorized to see, enforced at query time.
05
Every query, every retrieved chunk, every answer logged. Searchable by user, document, time — for compliance and debugging.
06
Golden dataset, automated evals, drift detection. You know when retrieval quality moves — before users tell you.
How It's Built
We use the same patterns we run in production ourselves. Each piece is replaceable — you own the system at the end, not the vendor.
Tell us what your team is trying to make searchable. We'll come back with a scoped plan — sources, evals, timelines, and what production-grade actually means for your data.