Return MongoDB documents most similar to the given query and their scores.
Atlas Vector Search eliminates the need to run a separate search system alongside your database.
Args: query: Input text of semantic query k: Number of documents to return. Also known as top_k. pre_filter: List of MQL match expressions comparing an indexed field post_filter_pipeline: (Optional) Arbitrary pipeline of MongoDB aggregation stages applied after the search is complete. oversampling_factor: This times k is the number of candidates chosen at each step in the in HNSW Vector Search include_embeddings: If True, the embedding vector of each result will be included in metadata. kwargs: Additional arguments are specific to the search_type
