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)

Project links

Data verified by PyPI on Apr 8, 2025
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.2.13)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for langchain from gravatar.com langchain

GitHub Statistics

Data verified by PyPI on Apr 8, 2025
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT

Requires

Python <3.14, >=3.9

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

langchain_pinecone-0.2.5.tar.gz (20.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

langchain_pinecone-0.2.5-py3-none-any.whl (17.0 kB view details)

Uploaded Python 3

File details

Details for the file langchain_pinecone-0.2.5.tar.gz.

File metadata

  • Download URL: langchain_pinecone-0.2.5.tar.gz
  • Upload date:
  • Size: 20.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for langchain_pinecone-0.2.5.tar.gz
Algorithm Hash digest
SHA256 22c16de3109e7e8d232d609d82677eebc4014f6fbc428935b72f7e9b0898bf33
MD5 e2791fb799001ebd48ef34631e08644b
BLAKE2b-256 ab11552a70c16c259581fb897e56617f7081c6123ad7d3aa2b397b97dbadc4b2

See more details on using hashes here.

File details

Details for the file langchain_pinecone-0.2.5-py3-none-any.whl.

File metadata

File hashes

Hashes for langchain_pinecone-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 90aec7f87f3b1a7bf10e4383c682770b16ceccba3e1d744e6ce3d94d9a820e4f
MD5 8fbfb7d6930243702177af7c18a08fe1
BLAKE2b-256 2f4659d49c649e0b806befedbf6cb205be7a54f5095ee2acc03187af9f01ec43

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page