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Performs vector similarity search using embeddings.
vectorSearch(
namespacePrefix: string[],
query: string,
options: __type = {}
): Promise<SearchItem[]>| Name | Type | Description |
|---|---|---|
namespacePrefix* | string[] | The namespace prefix to search within |
query* | string | The text query to embed and search for similar items |
options | __type | Default: {}Search options including filter, similarity threshold, and distance metric |