# 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