embeddings
(List[List[float]]
): The embeddings to add.routes
(List[str]
): The routes to add.utterances
(List[str]
): The utterances to add.function_schemas
(Optional[List[Dict[str, Any]]]
): The function schemas to add.metadata_list
(List[Dict[str, Any]]
): The metadata to add.List[List[float]]
0 (List[List[float]]
1): The batch size to use for the upload.include_metadata
(bool
): Whether to include function schemas and metadata in
the returned Utterance objects - QdrantIndex does not currently support this
parameter so it is ignored. If required for your use-case please reach out to
semantic-router maintainers on GitHub via an issue or PR.List[Utterance]
: A list of Utterance objects.
route_name
(str
): The name of the route to delete.IndexConfig
: The index configuration.
bool
: True if the index is ready, False otherwise.
vector
(np.ndarray
): The vector to query.top_k
(int
): The number of results to return.route_filter
(Optional[List[str]]
): The route filter to apply.sparse_vector
(dict[int, float] | SparseEmbedding | None
): The sparse vector to query.Tuple[np.ndarray, List[str]]
: A tuple of the scores and route names.
vector
(np.ndarray
): The vector to query.top_k
(int
): The number of results to return.route_filter
(Optional[List[str]]
): The route filter to apply.sparse_vector
(dict[int, float] | SparseEmbedding | None
): The sparse vector to query.Tuple[np.ndarray, List[str]]
: A tuple of the scores and route names.
List[str]
: A list of routes.
None
: None
metric
(Metric
): The metric to convert.Distance
: The converted metric.
int
: The total number of vectors.
route_name
(str
): The name of the route to delete.list[str]
: List of IDs of the vectors deleted (empty list, as Qdrant does not return IDs).
None
: None