Your documents answer back.

Manuals, procedures, contracts, closed tickets. Everything somebody looks up by hand today becomes an answer, with the page it came from next to it.

RAG stands for retrieval-augmented generation, and behind the technical name there is something simple: instead of answering from memory, the model first searches your documents and then composes the answer out of what it found.

The practical difference is that the answer can be checked. Every claim has a source, and when there is no source the system says so instead of inventing one. It is the only way an automated answer can be part of a business process.

How we do it

Ingesting what you actually have

PDFs, Word files, Confluence, SharePoint, tickets, website pages. Scans included, read with OCR before they are indexed.

Hybrid search, not just semantic

Vectors for meaning, keywords for part numbers and standards references. Neither is enough on its own: semantic search loses the codes.

Every answer cites its source

Document, page, paragraph. Whoever is reading can open the original and check, and that is the part that makes the answer genuinely usable.

Permissions stay exactly as they were

If a SharePoint document is visible only to finance, the answer that cites it is visible only to finance. Permissions are inherited from the systems of record, not redesigned.

Use cases

05 · RAG and knowledge base

Document assistant

Customers and colleagues ask questions, and the assistant answers using only your documents and the pages of your website. Every answer comes with its source, and when it does not know, it says so.

06 · RAG and knowledge base

Technical support

Manuals, technical sheets and resolved tickets become answers with the source next to them, for the technician on site and for whoever answers the phone.

Questions we get first

How do I make the AI answer only from company documents?

You constrain the model to answer from what the retrieval step handed it, and you give it an explicit way out when it finds nothing. It is not an absolute guarantee, but with the sources next to the answer a mistake is visible immediately.

Our documents are a mess. Is that a problem?

No, and it is normal. Working out which documents actually matter and which are stale versions is half the job, and that half is ours.

How do you stop it making things up?

Three things together: answers anchored to the retrieved sources, the citation always visible, and an “I don't know” the system is allowed to say. The third one is the one that is usually missing.

How many documents do we need to start?

Fewer than you think. You start with one area — support, engineering, finance — and measure there. Indexing everything at once makes it impossible to tell what is not working.

Tell us the process. We will tell you if it makes sense.

A free 30-minute call, with no commercial follow-up unless you want it.

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