An integration package connecting Pinecone and LangChain
Project description
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_KEYPINECONE_INDEX_NAME
Usage
The Pinecone class exposes the connection to the Pinecone vector store.
from langchain_pinecone import PineconeVectorStore
embeddings = ... # use a LangChain Embeddings class
vectorstore = Pinecone(embeddings=embeddings)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file langchain_pinecone-0.0.3.tar.gz.
File metadata
- Download URL: langchain_pinecone-0.0.3.tar.gz
- Upload date:
- Size: 7.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5584a56b4208f3a30917c6698a27ecb459c192db0b2374d515887b507763ff20 |
|
| MD5 | b32c7cdf7a2db321e27bf5a45c597d8b |
|
| BLAKE2b-256 | 68eabeda31761d1f1481871706bcf47d2574badbdddb96143a56edb17c0e5748 |
File details
Details for the file langchain_pinecone-0.0.3-py3-none-any.whl.
File metadata
- Download URL: langchain_pinecone-0.0.3-py3-none-any.whl
- Upload date:
- Size: 8.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | aa6c9925727f509b781c791184f5c2f8bc15030c0ad20f4b52b2698207934b9d |
|
| MD5 | 6c89984130dd5b1e8d0a3d9bcf594015 |
|
| BLAKE2b-256 | 30396cbba0c7f2e8b79d722497c37cc16c46e16fb1fc52b1a0aaf1afec45e62b |
