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AI document search with source citations

Ask questions of your operational documentation, with a source for every answer.

AI-assisted search answers questions from your own operational documentation and names the source documents for each answer. This makes every answer verifiable. Quality depends mainly on the documentation, less on the model.

We place it in Trial: it pays off when the documentation is current and structured. Beforehand, we clarify which documents the system may read, where the model runs and who is accountable for the answers. If the foundation is missing, we start with the documentation.

A good fit if …
  • current, structured operational documentation exists or is being created
  • many recurring questions go to a few knowledge holders
  • answers need to be checked against their sources
Not a good fit if …
  • the documentation is outdated or scattered; in that case, start with the documentation
  • the protection requirements of the documents have not yet been determined
  • the AI is expected to make decisions

In practice

Use case

Building IT operations documentation and making it usable with AI

Capture operational knowledge in versioned Markdown or a wiki, so your team can use AI to search, answer questions and analyse incidents.

Read use case

Related entries

History Trial (New)

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