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**Description** Add support for Pinecone hosted embedding models as `PineconeEmbeddings`. Replacement for #22890 **Dependencies** Add `aiohttp` to support async embeddings call against REST directly - [x] **Add tests and docs**: If you're adding a new integration, please include Added `docs/docs/integrations/text_embedding/pinecone.ipynb` - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Twitter: `gdjdg17` --------- Co-authored-by: Erick Friis <erick@langchain.dev>
langchain-pinecone
This package contains the LangChain integration with Pinecone.
Installation
pip install -U langchain-pinecone
And you should configure credentials by setting the following environment variables:
PINECONE_API_KEYPINECONE_INDEX_NAME
Usage
The PineconeVectorStore class exposes the connection to the Pinecone vector store.
from langchain_pinecone import PineconeVectorStore
embeddings = ... # use a LangChain Embeddings class
vectorstore = PineconeVectorStore(embeddings=embeddings)