{ "status": 200, "message": "Similarity search successfully performed.", "data": { "nearest_neighbors": { "21": { "metadata": { "foo3": "bar4" }, "rank": 2 }, "45": { "metadata": { "foo7": "bar8" }, "rank": 4 }, "54": { "metadata": { "foo": "bar" }, "rank": 0 }, "63": { "metadata": { "foo5": "bar6", "hello": "world" }, "rank": 3 }, "98": { "metadata": { "foo1": "bar2", "bar": "baz" }, "rank": 1 } } } }
Search for embeddings using vector similarity search
The k-nearest embeddings returned in an array along with their rank (0 is nearest).
The response is of type object.
object