vector_search
Perform vector similarity searches within Typesense collections by specifying a vector query, optional filters, and hybrid text queries to retrieve precise results.
Instructions
Performs a vector similarity search on a specific collection.
Args:
ctx (Context): The MCP context.
collection_name (str): The name of the collection to search within.
vector_query (str): The vector query string, formatted as 'vector_field:([v1,v2,...], k: num_neighbors)'.
query_by (str | None): Optional: Comma-separated list of text fields for hybrid search query ('q' parameter). Defaults to None.
filter_by (str | None): Filter conditions to apply before vector search. Defaults to None.
sort_by (str | None): Optional sorting criteria (less common for pure vector search). Defaults to None.
per_page (int): Number of results per page. Defaults to 10.
page (int): Page number to retrieve. Defaults to 1.
Returns:
dict | str: The vector search results dictionary from Typesense or an error message string.Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| collection_name | Yes | ||
| filter_by | No | ||
| page | No | ||
| per_page | No | ||
| query_by | No | ||
| sort_by | No | ||
| vector_query | Yes |