Create a new vector store.
The vector store will be scoped to the authenticated account. The name must be unique within the account.
Args: request: Vector store creation parameters including name, dimensions, and optional model vector_store_use_case: Injected vector store use case
Returns: The created vector store details
Request to create a vector store.
A unique name for the vector store within the account
The embedding model to use
sentence-transformers/all-MiniLM-L12-v2, sentence-transformers/all-mpnet-base-v2, sentence-transformers/multi-qa-distilbert-cos-v1, sentence-transformers/paraphrase-multilingual-mpnet-base-v2, openai/text-embedding-ada-002, openai/text-embedding-3-small, openai/text-embedding-3-large, embed-english-v3.0, embed-english-light-v3.0, embed-multilingual-v3.0 Dictionary mapping metadata field names to their types for efficient filtering
Successful Response
Response model for vector store operations.
The name of the vector store
Dimension size of the embeddings
The embedding model
sentence-transformers/all-MiniLM-L12-v2, sentence-transformers/all-mpnet-base-v2, sentence-transformers/multi-qa-distilbert-cos-v1, sentence-transformers/paraphrase-multilingual-mpnet-base-v2, openai/text-embedding-ada-002, openai/text-embedding-3-small, openai/text-embedding-3-large, embed-english-v3.0, embed-english-light-v3.0, embed-multilingual-v3.0 Timestamp of creation
Timestamp of last update
Dictionary mapping metadata field names to their types