Query agent searchWEAVIATE_MCP_QUERY_AGENT_SEARCH
Search Mode combines AI-powered semantic search with structured
filtering and returns the matching Weaviate objects directly.
For example, you could ask:
"Find me some vintage shoes under $70"
And the agent will perform semantic search for vintage shoes, apply a
filter for price < 70, and return the matching objects from your
collections, ready for you to render or post-process.
You could also ask:
"Something comfortable to wear on a long flight"
And the agent will use AI-powered search to find relevant objects, even
when terms like comfortable or long flight never appear in your data.
Under the hood, Search Mode does more than embed your query as-is. The
agent writes one or more optimized semantic and structured queries,
executes them against your collections, and reranks the retrieved
objects by how well each one matches your original request.
The result's `results` field lists the matching objects in rank order
(best match first), each as a dict of property names to values.
Queries the collections named in the request within your connected Weaviate Cloud cluster. Use collection names from your own cluster; access follows the connected API key permissions.