163ef35dd1
Updated titles into a consistent format. Fixed links to the diagrams. Fixed typos. Note: The Templates menu in the navbar is now sorted by the file names. I'll try sorting the navbar menus by the page titles, not the page file names.
2.6 KiB
RAG - JaguarDB
This template performs RAG using JaguarDB and OpenAI.
Environment Setup
You should export two environment variables, one being your Jaguar URI, the other being your OpenAI API KEY.
If you do not have JaguarDB set up, see the Setup Jaguar section at the bottom for instructions on how to do so.
export JAGUAR_API_KEY=...
export OPENAI_API_KEY=...
Usage
To use this package, you should first have the LangChain CLI installed:
pip install -U langchain-cli
To create a new LangChain project and install this as the only package, you can do:
langchain app new my-app --package rag-jaguardb
If you want to add this to an existing project, you can just run:
langchain app add rag-jagaurdb
And add the following code to your server.py file:
from rag_jaguardb import chain as rag_jaguardb
add_routes(app, rag_jaguardb_chain, path="/rag-jaguardb")
(Optional) Let's now configure LangSmith. LangSmith will help us trace, monitor and debug LangChain applications. You can sign up for LangSmith here. If you don't have access, you can skip this section
export LANGCHAIN_TRACING_V2=true
export LANGCHAIN_API_KEY=<your-api-key>
export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
If you are inside this directory, then you can spin up a LangServe instance directly by:
langchain serve
This will start the FastAPI app with a server is running locally at http://localhost:8000
We can see all templates at http://127.0.0.1:8000/docs We can access the playground at http://127.0.0.1:8000/rag-jaguardb/playground
We can access the template from code with:
from langserve.client import RemoteRunnable
runnable = RemoteRunnable("http://localhost:8000/rag-jaguardb")
JaguarDB Setup
To utilize JaguarDB, you can use docker pull and docker run commands to quickly setup JaguarDB.
docker pull jaguardb/jaguardb
docker run -d -p 8888:8888 --name jaguardb jaguardb/jaguardb
To launch the JaguarDB client terminal to interact with JaguarDB server:
docker exec -it jaguardb /home/jaguar/jaguar/bin/jag
Another option is to download an already-built binary package of JaguarDB on Linux, and deploy the database on a single node or in a cluster of nodes. The streamlined process enables you to quickly start using JaguarDB and leverage its powerful features and functionalities. here.