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nc/1jun/runnable-seq-kwargs

master

bagatur/standard_test_update

jacob/complex_messages

bagatur/bump_anthropic_mypy

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renderer

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eugene/postgres_vectorstore

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nc/13mar/rm-runnable-each

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erick/improvement-format-notebooks

erick/improvement-default-docs-url-root

bagautr/rfc_image_template

refactorChromaInitLogic

rlm/ollama_json

bagatur/rfc_pinecone_hybrid

eugene/document_runnables2

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langchain-ai21==0.1.4

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langchain-anthropic==0.1.15

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langchain-azure-dynamic-sessions==0.1.0rc0

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langchain==0.2.0rc1

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langchain==0.2.1

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History

Erick Friis 06110e20b9 pinecone: bump min core version (#21742 )		3 weeks ago
..
langchain_pinecone	(all): update removal in deprecation warnings from 0.2 to 0.3 (#21265 )	1 month ago
scripts	infra: add print rule to ruff (#16221 )	4 months ago
tests	pinecone[patch]: integration test debug (#17960 )	3 months ago
.gitignore	pinecone: init pkg (#16556 )	4 months ago
LICENSE	pinecone: init pkg (#16556 )	4 months ago
Makefile	pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896 )	3 months ago
README.md	docs: update pinecone README to use PineconeVectorStore (#18170 )	3 months ago
poetry.lock	pinecone: bump min core version (#21742 )	3 weeks ago
pyproject.toml	pinecone: bump min core version (#21742 )	3 weeks ago

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)