mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
38 lines
593 B
Markdown
38 lines
593 B
Markdown
|
# RAG Pinecone
|
||
|
|
||
|
This template performs RAG using Pinecone and OpenAI.
|
||
|
|
||
|
## Pinecone
|
||
|
|
||
|
This connects to a hosted Pinecone vectorstore.
|
||
|
|
||
|
Be sure that you have set a few env variables in `chain.py`:
|
||
|
|
||
|
* `PINECONE_API_KEY`
|
||
|
* `PINECONE_ENV`
|
||
|
* `index_name`
|
||
|
|
||
|
## LLM
|
||
|
|
||
|
Be sure that `OPENAI_API_KEY` is set in order to the OpenAI models.
|
||
|
|
||
|
## Installation
|
||
|
|
||
|
Create your LangServe app:
|
||
|
```
|
||
|
langchain serve new my-app
|
||
|
cd my-app
|
||
|
```
|
||
|
|
||
|
Add template:
|
||
|
```
|
||
|
langchain serve add rag-pinecone
|
||
|
```
|
||
|
|
||
|
Start server:
|
||
|
```
|
||
|
langchain start
|
||
|
```
|
||
|
|
||
|
See Jupyter notebook `rag_pinecone` for various way to connect to the template.
|