Create a SQL Server vectorStore initialized from texts and embeddings.
Create a SQL Server vectorStore initialized from texts and embeddings.
Get documents by their IDs from the vectorstore.
Return docs selected using the maximal marginal relevance.
Return docs selected using the maximal marginal relevance.
Return docs most similar to given query.
Return docs most similar to the embedding vector.
Similarity search with score.
Similarity search by vector with score.
add_texts function for SQLServerVectorStore class.
Drops every table created during initialization of vector store.
Delete embeddings in the vectorstore by the ids.
Async counterpart to :meth:add_texts.
Async counterpart to add_documents.
Async counterpart to :meth:get_by_ids.
Async counterpart to :meth:delete.
Async counterpart to :meth:similarity_search.
Async counterpart to :meth:similarity_search_by_vector.
Async counterpart to :meth:similarity_search_with_score.
Async counterpart to :meth:similarity_search_by_vector_with_score.
Async counterpart to :meth:from_texts.
Async counterpart to :meth:from_documents.
Deprecated alias for :class:SQLServerVectorStore.
This alias is kept for backward compatibility and will be removed in a
future release. Use :class:SQLServerVectorStore instead.
