Skip to content

Building a Retrieval-Augmented Generation (RAG) system using Python, AzureOpenAI, and LlamaIndex to query PDF documents and get AI-powered responses.

Notifications You must be signed in to change notification settings

snikidev/llamaindex-python-rag

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Creating a Simple RAG in Python with AzureOpenAI and LlamaIndex

See the post on Rail Yard Works

Getting Started

Set the variables in the .env file and run:

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
python ./src/main.py

About

Building a Retrieval-Augmented Generation (RAG) system using Python, AzureOpenAI, and LlamaIndex to query PDF documents and get AI-powered responses.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages