v1.0.0

This is first release and everything is included here.

Welcome to Omakase RAG Orchestrator (django-llamaindex-google-drive-template). This initiative aims to address the challenges associated with building RAG applications — transitioning from the concept stage to a live, functional app.

Traditionally, RAG applications start as Python scripts, not full-fledged web applications, limiting their accessibility and scalability. They rely on a knowledge base that doesn't update automatically, requiring the use of external tools for regular updates. Additionally, standard RAG data architectures lack sophisticated user access and permission controls, crucial for multi-user environments.

To tackle these challenges, we are building a comprehensive web application with an API encapsulating Large Language Models (LLMs) and their wrappers. The project includes:

1. Managing Data Sources for Google Drive with Scheduler
2. User Management with Access Control and Permission Settings
3. RAG API
4. Admin panel

Moreover, this innovative solution integrates Django with Llamaindex and Google Drive, expanding your applications' capabilities. It serves as an efficient tool for updating and retrieving your database. Here are the primary benefits, which lower your costs and boost your application's speed:

1. It does not download files every time you sync your database. Instead, it checks for modifications and re-downloads only when required.
2. During the database chunking process, it ensures there are no duplicate chunks in the database.

By employing these tools and strategies, our project will enhance the usability and functionality of RAG applications and streamline data management and user access.