Metadata-Version: 2.1
Name: langchain-pinecone
Version: 0.2.2
Summary: An integration package connecting Pinecone and LangChain
Home-page: https://github.com/langchain-ai/langchain
License: MIT
Requires-Python: >=3.9,<3.13
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: aiohttp (>=3.10,<3.11)
Requires-Dist: langchain-core (>=0.3.29,<0.4.0)
Requires-Dist: langchain-tests (>=0.3.7,<0.4.0)
Requires-Dist: numpy (>=1.26.0,<2.0.0)
Requires-Dist: pinecone (>=5.4.0,<6.0.0)
Project-URL: Repository, https://github.com/langchain-ai/langchain
Project-URL: Release Notes, https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-pinecone%3D%3D0%22&expanded=true
Project-URL: Source Code, https://github.com/langchain-ai/langchain/tree/master/libs/partners/pinecone
Description-Content-Type: text/markdown

# langchain-pinecone

This package contains the LangChain integration with Pinecone.

## Installation

```bash
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.

```python
from langchain_pinecone import PineconeVectorStore

embeddings = ... # use a LangChain Embeddings class

vectorstore = PineconeVectorStore(embeddings=embeddings)
```

