Performs semantic search in a Vertex AI Vector Search 2.0 Collection.
Semantic search automatically generates embeddings from the search text using Vertex AI models, so you don't need to manually create embeddings.
Name of the vector field to search (must have auto-embedding config).
Number of neighbors to return.
Embedding task type. Options:
Optional filter dict. Examples: {"genre": {"$eq": "Drama"}}, {"$and": [{"year": {"$gte": 1990}}, {"genre": {"$eq": "Action"}}]}
Optional credentials to use.
