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langchain/libs/partners/pinecone
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Eugene Yurtsev 5f5e8c9a60
huggingface[patch], pinecone[patch], fireworks[patch], mistralai[patch], voyageai[patch], togetherai[path]: convert Pydantic extras to literals (#25384) 
Backwards compatible change that converts pydantic extras to literals
which is consistent with pydantic 2 usage.

- fireworks
- voyage ai
- mistralai
- mistral ai
- together ai
- huggigng face
- pinecone
2024-08-14 09:55:30 -04:00
..
langchain_pinecone huggingface[patch], pinecone[patch], fireworks[patch], mistralai[patch], voyageai[patch], togetherai[path]: convert Pydantic extras to literals (#25384) 2024-08-14 09:55:30 -04:00
scripts patch[partners] Fix check_imports bugs in pinecone and milvus (#24971) 2024-08-02 09:27:11 -04:00
tests pinecone: Add embedding Inference Support (#24515) 2024-07-23 22:50:28 +00:00
.gitignore
LICENSE
Makefile infra: update mypy 1.10, ruff 0.5 (#23721) 2024-07-03 10:33:27 -07:00
poetry.lock pinecone: Add embedding Inference Support (#24515) 2024-07-23 22:50:28 +00:00
pyproject.toml pinecone: Add embedding Inference Support (#24515) 2024-07-23 22:50:28 +00:00
README.md docs: update pinecone README to use PineconeVectorStore (#18170) 2024-03-01 12:12:52 -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 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)