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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_KEY
PINECONE_INDEX_NAME
PINECONE_ENVIRONMENT
Usage
The Pinecone
class exposes the connection to the Pinecone vector store.
from langchain_pinecone import Pinecone
embeddings = ... # use a LangChain Embeddings class
vectorstore = Pinecone(embeddings=embeddings)