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”).
🧩 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
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