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HyperspaceDB

Interact with the HyperspaceDB gRPC API

Actions13

Vector → Search Text (Auto-embed)

AI-generated

Summary

Search for the most similar vectors to a given natural language text in a specified collection, using server-side automatic text embedding.

Inputs

  • Collection Name (required) — The name of the vector collection to search within.
  • Text Content (required) — The natural language text to be automatically vectorized and used as the search query.
  • Top K — The number of top similar results to return; defaults to 10 if not specified.

Output shape

A single JSON object containing a 'results' array with the top similar vector entries from the collection.

The 'results' field includes similarity results returned by the HyperspaceDB server. Errors are returned as JSON objects with an 'error' message if the operation fails and 'Continue On Fail' is enabled.

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