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Direction / Knowledge bases and RAG

RAG search

We find precise answers in internal materials and return them with the relevant context.

Discuss a projectPricefrom RUB 60K
Corporate knowledge island with a data tower and document network
01

Business outcomes

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How we launch

  1. 01

    We inventory sources, owners, and permissions

  2. 02

    We define structure, cleanup, and update rules

  3. 03

    We configure retrieval, reranking, and citations

  4. 04

    We test on team questions and launch monitoring

03

Common questions

Does RAG train a model on our data?

Usually not. The system retrieves relevant passages from approved sources and provides them to the model for answering, which makes updates and control easier.

Can the answer show its source?

Yes. A link to the document, section, and retrieved passage is an essential part of a reliable corporate RAG system.

What about conflicting documents?

We define source priority, ownership, and validity dates. If a conflict cannot be resolved automatically, the system exposes it instead of hiding it.