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    Flow-alerta.cab

    Conversational Search

    Data integration & searchDialogue-oriented searchSearching in conversation
    Editorially reviewed on: 1 source
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    The short answer · 18 words

    In short

    Information search, clarifies the questions over several steps of the conversation and takes into account the previous dialogue.

    Flow-alerta.cab (2026): Conversational Search. https://flow-alerta.cab/en/glossar/conversational-search. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Relevant for complex product selection and research in extensive knowledge bases.

    Example scenario: A customer is looking for a pump and adds volume, medium and temperature in the dialog.

    Check search quality over entire dialogs and secure important product characteristics against current catalogue data.

    At a glance

    Core
    The system connects follow-up questions with the original search intent, clarifies ambiguities and retrieves appropriate information. Results can be hit lists or source-based answers. A freely formulating chatbot without retrieval is not automatically a reliable search solution.
    Use
    Relevant for complex product selection and research in extensive knowledge bases.
    Example
    Example scenario: A customer is looking for a pump and adds volume, medium and temperature in the dialog.
    Limits
    Misclassify dialogue context; omit sources; invent availability; ignore permissions in retrieval.

    Questions about this term

    Is it the same as semantic search?

    No, it complements conversational context.

    Do you need sources?

    Useful for verifiable facts.

    Can it ask?

    Yes.

    All details and background

    The system connects follow-up questions with the original search intent, clarifies ambiguities and retrieves appropriate information. Results can be hit lists or source-based answers. A freely formulating chatbot without retrieval is not automatically a reliable search solution.

    ELI5 – Explained simply

    You keep looking for questions instead of starting over again each time.

    Why it matters in practice

    Relevant for complex product selection and research in extensive knowledge bases.

    Example

    Example scenario: A customer is looking for a pump and adds volume, medium and temperature in the dialog.

    Pitfalls and limits

    • Misclassify dialogue context; omit sources; invent availability; ignore permissions in retrieval.

    Origin & history

    Developed from information retrieval and dialogue systems; modern language models improve the interpretation of multi-level search queries.

    Use in mid-sized companies

    • Check search quality over entire dialogs and secure important product characteristics against current catalogue data.

    Related terms

    • Semantic search
    • RAG
    • Query rewriting
    • Intent
    • Grounding
    • Retrieval

    Matching Flow-alerta service

    AI assistants & automationData integration & search – implement multi-stage knowledge and product search with reliable sources.

    Matching tool / use case

    View use casesUse Case: Product discovery through queries about technical requirements.

    Sources

    Quellenprüfung: 09.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.

    Editorially reviewed on:

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