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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.

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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”).

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🧩 When to Enable Semantic Search

✅ 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