prepare_query_for_vector_search

langchain_mongodb.utils.prepare_query_for_vector_search(query: str, embedding: Any) → tuple[str | list[float], bool]

Prepare a query for vector search based on the embedding type.

This function checks if the embedding is an AutoEmbeddings instance. If it is, the query is returned as-is (string) for server-side embedding. Otherwise, the query is embedded using the embedding model’s embed_query method.

Parameters:

• query (str) – The search query string.

• embedding (Any) – The embedding model instance (either AutoEmbeddings or a standard Embeddings).

Returns:

• query_input: Either the original query string (for AutoEmbeddings) or the embedded query vector (for standard embeddings)

• is_autoembedding: Boolean indicating whether AutoEmbeddings is being used

Return type:

A tuple containing