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langchain/libs/partners/pinecone
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Erick Friis e237dcec91
pinecone[patch]: integration test debug (#17960)
2024-02-22 09:11:21 -08:00
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langchain_pinecone pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896) 2024-02-22 08:24:08 -08:00
scripts infra: add print rule to ruff (#16221) 2024-02-09 16:13:30 -08:00
tests pinecone[patch]: integration test debug (#17960) 2024-02-22 09:11:21 -08:00
.gitignore pinecone: init pkg (#16556) 2024-02-05 11:55:01 -08:00
LICENSE pinecone: init pkg (#16556) 2024-02-05 11:55:01 -08:00
Makefile pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896) 2024-02-22 08:24:08 -08:00
poetry.lock pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896) 2024-02-22 08:24:08 -08:00
pyproject.toml pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896) 2024-02-22 08:24:08 -08:00
README.md pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896) 2024-02-22 08:24:08 -08:00

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

Usage

The Pinecone class exposes the connection to the Pinecone vector store.

from langchain_pinecone import PineconeVectorStore

embeddings = ... # use a LangChain Embeddings class

vectorstore = Pinecone(embeddings=embeddings)