LlamaIndex Azure OpenAI - Proof of Concept

Introduction

This repository provides a Proof of Concept (POC) for integrating LlamaIndex with Azure OpenAI services.

Prerequisites

• Python 3.12.3

Setup Instructions

1. Check Python Version

   Ensure you have Python 3.12.3 installed:

   python --version

2. Create a Virtual Environment

   Create a virtual environment to manage dependencies:

   virtualenv venv

3. Activate the Virtual Environment

   Activate the virtual environment:

   source venv/bin/activate

4. Install Required Packages

   Install the required packages from requirements.txt:

   pip install -r requirements.txt

5. Run the Application

   Run the main application script:

   uvicorn app.main:app --reload

6. Freeze Dependencies

   Freeze the current state of dependencies to requirements.txt:

   pip freeze > requirements.txt

7. Run Backend

   uvicorn app.main:app 

8. Streamlit frontend

   streamlit run frontend/app.py 

Screenshot

Here is a screenshot of the application in action:

Reference

For more information on how to use LlamaIndex with Azure OpenAI, please refer to the LlamaIndex documentation.

Additional Information

• Make sure to customize main.py as per your POC requirements.
• Update requirements.txt as necessary when adding or updating dependencies.