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”).
