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| .. | ||
| langchain_pinecone | ||
| scripts | ||
| tests | ||
| .gitignore | ||
| LICENSE | ||
| Makefile | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.md | ||
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)