RAG & knowledge systems

Manuals, policies, past proposals, meeting notes. We build systems that search your scattered documents and answer with a link to the source, while respecting who is allowed to see what.

The librarian

Who it’s for

  • Teams where every question goes to the same veteran
  • Companies where onboarding takes months
  • Organizations with plenty of documents and no way to find anything

Typical problems

  • Answering the same questions again and again
  • Nobody knows which version is current
  • General AI chat can’t answer company-specific questions

What we build

  • Pipelines that ingest, split and keep documents up to date
  • Search and chat that cite their sources
  • Search that respects access permissions
  • An evaluation question set and ongoing accuracy measurement

What we don’t do

  • Answers without a source you can check
  • Using your documents to train external AI models

Typical timeline

A prototype in 2–4 weeks, production in 1–3 months.

Related work

We’re still preparing case studies we can publish in this area.