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langchain/libs/partners/pinecone
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Cory Waddingham cd6812342e
pinecone[patch]: Update Poetry requirements for pinecone-client >=3.2.2 (#22094) 
This change updates the requirements in
`libs/partners/pinecone/pyproject.toml` to allow all versions of
`pinecone-client` greater than or equal to 3.2.2.

This change resolves issue
[21955](https://github.com/langchain-ai/langchain/issues/21955).

---------

Co-authored-by: Erick Friis <erickfriis@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-06-20 18:59:36 +00:00
..
langchain_pinecone pinecone[patch]: Update Poetry requirements for pinecone-client >=3.2.2 (#22094) 2024-06-20 18:59:36 +00:00
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tests pinecone[patch]: Update Poetry requirements for pinecone-client >=3.2.2 (#22094) 2024-06-20 18:59:36 +00:00
.gitignore
LICENSE
Makefile
poetry.lock pinecone[patch]: Update Poetry requirements for pinecone-client >=3.2.2 (#22094) 2024-06-20 18:59:36 +00:00
pyproject.toml pinecone[patch]: Update Poetry requirements for pinecone-client >=3.2.2 (#22094) 2024-06-20 18:59:36 +00:00
README.md

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 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)