PineconeEmbeddings embedding model.
PineconeSparseEmbeddings embedding model.
Enumerator of the Distance strategies for calculating distances between vectors.
Pinecone vector store integration.
Document compressor that uses Pinecone Rerank API.
Pinecone sparse vector store integration.
This class extends PineconeVectorStore to support sparse vector representations. It requires a Pinecone sparse index and PineconeSparseEmbeddings.
Deprecated. Use PineconeVectorStore instead.
Calculate maximal marginal relevance.
Row-wise cosine similarity between two equal-width matrices.
Calculate maximal marginal relevance for sparse vectors.
Calculate cosine similarity between sparse vectors without converting to dense.
Fetch supported models from Pinecone dynamically. Args: api_key: Pinecone API key model_type: 'embed', 'rerank', or None for all vector_type: 'dense', 'sparse', or None Returns: List o
Fetch supported models from Pinecone dynamically using async HTTP calls. Args: api_key: Pinecone API key model_type: 'embed', 'rerank', or None for all vector_type: 'dense', 'sparse', or N
