UltimateRAG

This project is an AI-based application that leverages Gemini/OpenAI and JinaAI embeddings on a FastAPI backend. The application is capable of reading PDFs, maintaining webpage memory, and facilitating interactive chat with websites, webpages, and PDFs.

Project Description

The AI-based application aims to provide an interactive and intelligent interface for users to engage with various digital content. The key features of the application include:

• PDF Reading: The application can read and understand the content of PDF documents.
• Webpage Memory: The application retains memory of interactions on webpages, allowing for a seamless user experience.
• Interactive Chat: Users can chat with the application about websites, webpages, and PDFs, receiving intelligent and context-aware responses.

Project Structure

The project is divided into two main parts: the backend and the frontend.

Backend

• Framework: FastAPI
• AI Models: Gemini/OpenAI, JinaAI embeddings
• Capabilities: Reading PDFs, webpage memory, interactive chat

Frontend

• Framework: Svelte
• UI/UX: Responsive and user-friendly interface for interacting with the AI-based functionalities

To-Do List

Backend

1. Set up FastAPI backend
   • Install FastAPI and create the initial project structure
2. Integrate AI Models
   • Configure and integrate Gemini/OpenAI models
   • Set up JinaAI embeddings
3. Implement PDF Reading Capability
   • Develop endpoints to upload and read PDF documents
4. Develop Webpage Memory Feature
   • Create mechanisms to store and retrieve webpage interactions
5. Enable Interactive Chat
   • Implement chat functionality using AI models

Frontend

1. Set up Svelte Frontend
   • Install Svelte and create the initial project structure
2. Design User Interface
   • Create a responsive and intuitive UI for interacting with the backend functionalities
3. Implement PDF Interaction
   • Develop frontend components to upload and display PDF content
4. Develop Webpage Memory Interface
   • Create frontend components to visualize and interact with stored webpage memories
5. Enable Chat Interface
   • Implement a chat interface to communicate with the backend

Getting Started

Prerequisites

• Backend: Python, FastAPI, Gemini/OpenAI, JinaAI
• Frontend: Node.js, Svelte