Semantic Search

Semantic Search enhances the way Agents interact with Tables by allowing contextual and meaning-based queries. When this option is enabled on a column, the system uses vector embeddings to interpret user input.

Example:

If a user asks:

“Show all users who asked about campaigns”

An Agent can retrieve rows from a “Questions” column even if none explicitly mention “campaigns”, as long as the semantic meaning aligns (e.g., “marketing flows”, “mass messages”).


Recommended for:

  • Descriptive or natural language fields (string)

    • Examples: Question, Feedback, Message, Description

Avoid enabling for:

  • Short categorical or structured fields

    • Examples: ID, Status, Type, Boolean flags

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