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 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)
Metadata
Release files for gigachain-pinecone 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gigachain_pinecone-0.1.3.tar.gz | 9.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gigachain_pinecone-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.1 kB
Release files / gigachain_pinecone-0.1.3.tar.gz
| Download URL | gigachain_pinecone-0.1.3.tar.gz |
|---|---|
| Size | 9.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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poetry/1.7.1 CPython/3.11.6 Darwin/23.5.0
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Release files / gigachain_pinecone-0.1.3-py3-none-any.whl
| Download URL | gigachain_pinecone-0.1.3-py3-none-any.whl |
|---|---|
| Size | 10.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
poetry/1.7.1 CPython/3.11.6 Darwin/23.5.0
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