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RAG Systems & Custom Business Chat Agents

Deploy reliable AI assistants grounded in your real business knowledge. We design retrieval-powered chat systems that answer accurately, cite sources, and plug directly into your workflows.

Business knowledge, made usable

Give people useful answers they can trace back to a source.

Retrieval-augmented generation (RAG) finds relevant material from selected business sources and gives it to an AI model as context. Source quality and access rules are part of the design.

01

Your sources

Approved documents and internal knowledge

02

Relevant context

Search that respects access and scope

03

Grounded answer

A response tied back to its source

Designed for real-world use

Useful answers need useful boundaries.

  • Respect permissions

    Only retrieve content the person is allowed to use.

  • Show source context

    Make it easier to verify where an answer came from.

  • Handle gaps honestly

    Offer a route to a person when the sources do not support an answer.

  • Keep knowledge current

    Plan how content is reviewed and refreshed over time.

FIXED PRICE SERVICE

1,220 EUR

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