Access the query embedding object if available.
Run more texts through the embeddings and add to the vectorstore.
Asynchronously run more texts through the embeddings and add to the vectorstore.
Return documents most similar to the given embedding vector.
Return documents most similar to the given embedding vector asynchronously.
Return pinecone documents most similar to query, along with scores.
Asynchronously return pinecone documents most similar to query, along with scores.
Return pinecone documents most similar to embedding, along with scores.
Return pinecone documents most similar to embedding, along with scores asynchronously.
Return pinecone documents most similar to query.
Return docs selected using the maximal marginal relevance.
Return docs selected using the maximal marginal relevance asynchronously.
Return docs selected using the maximal marginal relevance.
Return a Pinecone Index instance.
Construct Pinecone wrapper from raw documents.
Load pinecone vectorstore from index name.
Delete by vector IDs or filter.
Deprecated. Use PineconeVectorStore instead.