mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
e2d7677526
# Docs: compound ecosystem and integrations **Problem statement:** We have a big overlap between the References/Integrations and Ecosystem/LongChain Ecosystem pages. It confuses users. It creates a situation when new integration is added only on one of these pages, which creates even more confusion. - removed References/Integrations page (but move all its information into the individual integration pages - in the next PR). - renamed Ecosystem/LongChain Ecosystem into Integrations/Integrations. I like the Ecosystem term. It is more generic and semantically richer than the Integration term. But it mentally overloads users. The `integration` term is more concrete. UPDATE: after discussion, the Ecosystem is the term. Ecosystem/Integrations is the page (in place of Ecosystem/LongChain Ecosystem). As a result, a user gets a single place to start with the individual integration.
21 lines
663 B
Markdown
21 lines
663 B
Markdown
# Pinecone
|
|
|
|
This page covers how to use the Pinecone ecosystem within LangChain.
|
|
It is broken into two parts: installation and setup, and then references to specific Pinecone wrappers.
|
|
|
|
## Installation and Setup
|
|
- Install the Python SDK with `pip install pinecone-client`
|
|
## Wrappers
|
|
|
|
### VectorStore
|
|
|
|
There exists a wrapper around Pinecone indexes, allowing you to use it as a vectorstore,
|
|
whether for semantic search or example selection.
|
|
|
|
To import this vectorstore:
|
|
```python
|
|
from langchain.vectorstores import Pinecone
|
|
```
|
|
|
|
For a more detailed walkthrough of the Pinecone wrapper, see [this notebook](../modules/indexes/vectorstores/examples/pinecone.ipynb)
|