> ## Documentation Index
> Fetch the complete documentation index at: https://acem-52171079.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> A powerful RAG application for intelligent document processing and AI-powered conversations

## Overview

**DataDot** is a comprehensive RAG (Retrieval-Augmented Generation) application that combines a modern Next.js frontend with powerful Python backend services to provide:

* **Multi-LLM Support**: Integration with OpenAI, Anthropic, Google Gemini, Cohere, and Ollama
* **Smart Document Processing**: Convert and process PDFs, Word docs, Excel files, images, audio, and more
* **Intelligent Chat Interface**: Real-time streaming conversations with AI agents
* **Workspace Management**: Organize documents and conversations by project
* **Vector Search**: Multiple vector database support (LanceDB, ChromaDB, Pinecone, Qdrant, Weaviate)
* **MCP Server**: Model Context Protocol server for AI agent integration

## Features

<CardGroup cols={2}>
  <Card title="Document Collector" icon="file-arrow-down">
    Intelligent ingestion system that processes PDFs, websites, and YouTube videos into RAG-ready formats.
  </Card>

  <Card title="MCP Server" icon="server">
    Model Context Protocol server that exposes documentation and tools to AI agents like Claude and Cursor.
  </Card>

  <Card title="Vector Search" icon="magnifying-glass">
    High-performance similarity search using Pinecone and OpenAI embeddings.
  </Card>

  <Card title="Admin Dashboard" icon="gauge">
    Next.js-based interface for managing workspaces, documents, and API keys.
  </Card>
</CardGroup>

* **Customizable Themes**: Dark/light mode with custom branding
* **Internationalization**: Multi-language support via i18next
* Built with Next.js 16 (App Router) and React 19
* Real-time chat with streaming responses (SSE + WebSockets)
* Responsive design with mobile support
* Custom theme system with CSS variables
* JWT-based authentication
* Drag-and-drop file uploads
* Text-to-speech and speech-to-text capabilities
* Data visualization with Recharts

### Backend Server

* FastAPI with async support
* Multi-user mode with workspace isolation
* Secure authentication with JWT tokens
* Unified LLM interface for multiple providers
* Vector database operations for RAG
* Background job scheduling
* Comprehensive API documentation (OpenAPI/Swagger)

### Document Collector

* Support for 9+ file formats (PDF, DOCX, XLSX, EPUB, MBOX, images, audio)
* Audio transcription with OpenAI Whisper
* OCR for images using Tesseract
* Web scraping with depth control
* GitHub/GitLab repository ingestion
* YouTube transcript extraction
* Obsidian Vault processing
* Automatic token counting and text chunking

### MCP Server

* Model Context Protocol (MCP) server for AI agent integration
* SSE (Server-Sent Events) transport for real-time communication
* Dynamic configuration updates at runtime
* API key authentication
* Multiple LLM provider support
* Document upload and processing tools
* Vector database query tools
* Workspace management tools