brightdata-web-mcp

AI Engineering is advancing rapidly, and staying at the forefront requires both deep understanding and hands-on experience. Here, you will find:

• 93+ Production-Ready Projects across all skill levels
• In-depth tutorials on LLMs, RAG, Agents, and more
• Real-world AI agent applications
• Examples to implement, adapt, and scale in your projects

Whether you're a beginner, practitioner, or researcher, this repo provides resources for all skill levels to experiment and succeed in AI engineering.

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• [Getting Started](#-getting-started)
• [Newsletter](#-stay-updated-with-our-newsletter)
• [Projects by Difficulty](#-projects-by-difficulty)

- [Beginner Projects (22)](#-beginner-projects)

- [Intermediate Projects (48)](#-intermediate-projects)

- [Advanced Projects (23)](#-advanced-projects)

• [Contributing](#-contribute-to-the-ai-engineering-hub)
• [License](#-license)

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New to AI Engineering? Start here:

1. Complete Beginners: Check out the [AI Engineering Roadmap](./ai-engineering-roadmap) for a comprehensive learning path
2. Learn the Basics: Start with [Beginner Projects](#-beginner-projects) like OCR apps and simple RAG implementations
3. Build Your Skills: Move to [Intermediate Projects](#-intermediate-projects) with agents and complex workflows
4. Master Advanced Concepts: Tackle [Advanced Projects](#-advanced-projects) including fine-tuning and production systems

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🟢 Beginner Projects

Perfect for getting started with AI engineering. These projects focus on single components and straightforward implementations.

#### OCR & Vision

• [LaTeX OCR with Llama](./LaTeX-OCR-with-Llama) - Convert LaTeX equation images to code using Llama 3.2 vision
• [Llama OCR](./llama-ocr) - 100% local OCR app with Llama 3.2 and Streamlit
• [Gemma-3 OCR](./gemma3-ocr) - Local OCR with structured text extraction using Gemma-3
• [Qwen 2.5 OCR](./qwen-2.5VL-ocr) - Text extraction using Qwen 2.5 VL model

#### Chat Interfaces & UI

• [Local ChatGPT with DeepSeek](./local-chatgpt%20with%20DeepSeek) - Mini-ChatGPT with DeepSeek-R1 and Chainlit
• [Local ChatGPT with Llama](./local-chatgpt) - ChatGPT clone using Llama 3.2 vision
• [Local ChatGPT with Gemma 3](./local-chatgpt%20with%20Gemma%203) - Local chat interface with Gemma 3
• [DeepSeek Thinking UI](./deepseek-thinking-ui) - ChatGPT with visible reasoning using DeepSeek-R1
• [Qwen3 Thinking UI](./qwen3-thinking-ui) - Thinking UI with Qwen3:4B and Streamlit
• [GPT-OSS Thinking UI](./gpt-oss-thinking-ui) - GPT-OSS with reasoning visualization
• [Streaming AI Chatbot](./streaming-ai-chatbot) - Real-time AI streaming with Motia framework

#### Basic RAG

• [Simple RAG Workflow](./simple-rag-workflow) - Basic RAG with LlamaIndex and Ollama
• [Document Chat RAG](./document-chat-rag) - Chat with documents using Llama 3.3
• [Fastest RAG Stack](./fastest-rag-stack) - Fast RAG with SambaNova, LlamaIndex, and Qdrant
• [GitHub RAG](./github-rag) - Chat with GitHub repos locally
• [ModernBERT RAG](./modernbert-rag) - RAG with ModernBert embeddings
• [Llama 4 RAG](./llama-4-rag) - RAG powered by Meta's Llama 4

#### Multimodal & Media

• [Image Generation with Janus-Pro](./imagegen-janus-pro) - Local image generation with DeepSeek Janus-pro 7B
• [Video RAG with Gemini](./video-rag-gemini) - Chat with videos using Gemini AI

#### Other Tools

• [Website to API with FireCrawl](./Website-to-API-with-FireCrawl) - Convert websites to APIs
• [AI News Generator](./ai_news_generator) - News generation with CrewAI and Cohere
• [Siamese Network](./siamese-network) - Digit similarity detection on MNIST

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🟡 Intermediate Projects

Multi-component systems, agentic workflows, and advanced features for experienced practitioners.

#### AI Agents & Workflows

• [YouTube Trend Analysis](./Youtube-trend-analysis) - Analyze YouTube trends with CrewAI and BrightData
• [AutoGen Stock Analyst](./autogen-stock-analyst) - Advanced analyst with Microsoft AutoGen
• [Agentic RAG](./agentic_rag) - RAG with document search and web fallback
• [Agentic RAG with DeepSeek](./agentic_rag_deepseek) - Enterprise agentic RAG with GroundX
• [Book Writer Flow](./book-writer-flow) - Automated book writing with CrewAI
• [Content Planner Flow](./content_planner_flow) - Content workflow with CrewAI Flow
• [Brand Monitoring](./brand-monitoring) - Automated brand monitoring system
• [Hotel Booking Crew](./hotel-booking-crew) - Multi-agent hotel booking with DeepSeek-R1
• [Deploy Agentic RAG](./deploy-agentic-rag) - Private Agentic RAG API with LitServe
• [Zep Memory Assistant](./zep-memory-assistant) - AI Agent with human-like memory
• [Agent with MCP Memory](./agent-with-mcp-memory) - Agents with Graphiti memory and Opik
• [ACP Code](./acp-code) - Agent Communication Protocol demo
• [Motia Content Creation](./motia-content-creation) - Social media automation workflow

#### Voice & Audio

• [Real-time Voice Bot](./real-time-voicebot) - Conversational travel guide with AssemblyAI
• [RAG Voice Agent](./rag-voice-agent) - Real-time RAG Voice Agent with Cartesia
• [Chat with Audios](./chat-with-audios) - RAG over audio files
• [Audio Analysis Toolkit](./audio-analysis-toolkit) - Audio analysis with AssemblyAI
• [Multilingual Meeting Notes](./multilingual-meeting-notes-generator) - Auto meeting notes with language detection

#### Advanced RAG

• [RAG with Dockling](./rag-with-dockling) - RAG over Excel with IBM's Docling
• [Trustworthy RAG](./trustworthy-rag) - RAG over complex docs with TLM
• [Fastest RAG with Milvus and Groq](./fastest-rag-milvus-groq) - Sub-15ms retrieval latency
• [Chat with Code](./chat-with-code) - Chat with code using Qwen3-Coder
• [RAG SQL Router](./rag-sql-router) - Agent with RAG and SQL routing

#### Multimodal

• [DeepSeek Multimodal RAG](./deepseek-multimodal-RAG) - MultiModal RAG with DeepSeek-Janus-Pro
• [ColiVara Website RAG](./Colivara-deepseek-website-RAG) - MultiModal RAG for websites
• [Multimodal RAG with AssemblyAI](./multimodal-rag-assemblyai) - Audio + vector database + CrewAI

#### MCP (Model Context Protocol)

• [Cursor Linkup MCP](./cursor_linkup_mcp) - Custom MCP with deep web search
• [EyeLevel MCP RAG](./eyelevel-mcp-rag) - MCP for RAG over complex docs
• [LlamaIndex MCP](./llamaindex-mcp) - Local MCP client with LlamaIndex
• [MCP Agentic RAG](./mcp-agentic-rag) - MCP-powered Agentic RAG for Cursor
• [MCP Agentic RAG Firecrawl](./mcp-agentic-rag-firecrawl) - Agentic RAG with Firecrawl
• [MCP Video RAG](./mcp-video-rag) - Video RAG using Ragie via MCP
• [MCP Voice Agent](./mcp-voice-agent) - Voice agent with Firecrawl and Supabase
• [SDV MCP](./sdv-mcp) - Synthetic Data Vault orchestration
• [KitOps MCP](./kitops-mcp) - ML model management with KitOps
• [Stagehand × MCP-Use](./stagehand%20x%20mcp