About Gen AI Experiments
Gen AI Experiments is an MCP server in the Content category: collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies.
Install
git clone https://github.com/buildfastwithai/gen-ai-experimentsThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about Gen AI Experiments
Powered by Claude · Grounded in docs
Security checks
- ✓README presentThe repository ships documentation.
5 checks have not been run yet.
README
🤔 Why Gen-AI-Experiments?
- 💡 Learn by Building - 130+ production-ready applications and experiments you can run, modify, and learn from
- 🔥 Latest Tech Stack - Explore apps built with OpenAI, Anthropic, Gemini, QWEN, and open-source models
- 🎓 From Beginner to Advanced - Structured learning path with starter, intermediate, and advanced projects
- 🌍 Multi-Language Support - Projects supporting English, Hindi, and other Indian languages
- 📚 100+ Libraries Covered - Comprehensive tutorials on LangChain, LlamaIndex, CrewAI, AG2, Weaviate, and 90+ more AI/ML libraries
- 🚀 Production-Ready Code - Well-documented projects ready to deploy and integrate into your applications
📂 Featured AI Projects
🌱 Starter Projects
Perfect for beginners getting started with Gen AI:
- LangChain Basics - Build intelligent workflows with LangChain
- Fine-Tuning with Nebius Token Factory - LoRA fine-tuning for custom LLMs
- Getting Started with Pydantic AI - Type-safe AI development
- CrewAI Essentials - Quick start guide for multi-agent systems
- TextBlob NLP - Simplified natural language processing
- Hugging Face Transformers - Foundation for Gen AI and NLP
- LlamaIndex - Intelligent data integration for LLMs
- ChromaDB - Vector database for embeddings
- Pinecone - Scalable vector search
🧠 Intermediate Projects
Build more complex AI systems:
- AutoGen Multi-Agent System - Collaborative AI agents
- AG2 Multi-Agent AI Systems - GroupChat, tool use, MCP client with AG2 (formerly AutoGen)
- LangGraph Multi-Agent Swarm - Advanced agent orchestration
- CSV Agents - Data analysis with LangChain & LlamaIndex
- AI Customer Support Agent - Production-ready support system
- RAG Systems - Advanced retrieval-augmented generation
- Multi-Agent Workflows - Collaborative AI systems
🚀 Advanced Projects
Production-grade implementations and cutting-edge research:
- Cerebras Inference Comparison - High-performance model benchmarking
- Multi-Modal AI Systems - Complex experimental implementations
- Production LLM Testing - Comprehensive model evaluation
- Enterprise AI Agents - Production-grade agent systems
- Advanced RAG Architectures - Sophisticated retrieval systems
🎯 40+ Production-Ready Applications
🤖 Chat & Communication
- Chat with QWEN3 Coder - Advanced coding assistant powered by QWEN
- Chat with PDF or Webpage - Extract and interact with document content
- Chat with GPT-OSS - Open-source GPT interface
- Sutra V2 Multilingual Chatbot - Support for Hindi and Indian languages
- Vibe Voice TTS - Text-to-speech application
🎮 Games & Entertainment
- Chess Playing Agents - AI chess opponents with GLM model
- OpenAI Gemini Chess - Multi-model chess game
- QWEN Game Generator - Automated game creation
- World's Fastest Game Generator - Rapid game development with QWEN3
📚 Education & Learning
- Multilingual Quiz Generator - Create quizzes in multiple languages
- QnA Generator - Automated question generation
- Origami Tutorial Generator - Creative step-by-step tutorials
- Indian Language Quiz - Regional language support
- Language Learner - Interactive language learning platform
- Visual Question Generator - Image-based question creation
💼 Business & Productivity
- AI Business Consultant - Strategic business advisor
- AI Ad Generator - Marketing content creation
- Finance AgentOS - Financial analysis and insights
- Stock Market Agent - Real-time market analysis
- Deep Stock Research Agent - Advanced financial research
- Marketing Automation - Automated marketing campaigns
🔍 Research & Analysis
- Perplexity AI Research Assistant - AI-powered research automation
- Cerebras Search - Ultra-fast search engine
- Personalized Search Agent - Customized search experience
- Similarity Analyzer - Content comparison with Venn diagrams
🛠️ Development Tools
- GitHub README Generator - Auto-generate documentation
- Browser Automation - Web automation interface
- World's Fastest Website Generator - Instant web development
- Book Writer AI - Automated content creation
- LLM-friendly Web Scraper - Intelligent web scraping
🌐 Latest AI Integrations
- Gemini 2.0 Multimodal - Google's latest AI model
- News to Blog Automator - Content transformation pipeline
- Gadget Comparator - Product analysis with Gemini
- Chroma Cloud RAG - Cloud-based retrieval system
- MCP Implementation - Model Context Protocol
- TypeSafe Agno - Type-safe AI development
- NextJS Image Workflow - Advanced image processing
🗂️ Folder Definitions + Top Cookbooks
Quick directory map to help contributors and learners navigate faster.
100-os-libraries/
- Definition: Library-focused notebook cookbooks and quick-start guides across the GenAI ecosystem.
- Top Cookbooks:
agents/
- Definition: Agent-building notebooks (single-agent and multi-agent) with practical orchestration patterns.
- Top Cookbooks:
apps/
- Definition: End-to-end GenAI apps and demos, mostly app-first projects with selected cookbook assets.
- Top Cookbooks:
cookbooks/
- Definition: Model benchmarking, evaluation, and provider-specific capability testing notebooks.
- Top Cookbooks:
rag/
- Definition: Retrieval-Augmented Generation implementations, multimodal retrieval, and document-grounded QA.
- Top Cookbooks:
workshops/
- Definition: Hands-on workshop notebooks and guided classroom-style build sessions.
- Top Cookbooks:
fine-tuning/
- Definition: Fine-tuning workflows and practical adaptation notebooks for custom LLM behavior.
- Top Cookbooks:
experiments/
- Definition: Rapid experimentation area for new model features, frameworks, and exploratory ideas.
- Top Cookbooks:
roadmaps/
- Definition: Structured role-based GenAI learning paths, checkpoints, and progression docs.
- Top Guides:
genai-roadmap-site/
- Definition: Frontend site implementation for the interactive roadmap experience.
- Top Resources:
📈 Trending Notebooks
Curated from recently updated and high-interest notebooks available in this repository.
- GLM OCR Cookbook
- GPT-5.4 Mini/Nano Cookbook
- Gemini 3.1 Flash Lite Guide
- Gemini Embedding 2 Cookbook
- LangGraph Multi Agent Swarm
- AutoGen Collaborative Agents
- How to Build Claude-Powered RAG from Scratch
- RAG Interactive
- Kimi K2.5 Agent Swarm Cookbook
- MCP Workshop
🚀 Getting Started
Prerequisites
- Python 3.8+
- pip or conda package manager
- API keys for services you want to use (OpenAI, Anthropic, Google, etc.)
Quick Start
-
Clone the repository
git clone https://github.com/buildfastwithai/gen-ai-experiments.git cd gen-ai-experiments -
Navigate to your desired project
cd apps/your-desired-project -
Install dependencies
pip install -r requirements.txt -
Set up API keys
# Create a .env file and add your API keys echo "OPENAI_API_KEY=your_key_here" > .env -
Run the application
streamlit run app.py # or python app.py # or jupyter notebook -
Follow project-specific instructions in each project's
README.mdfor detailed setup
🤝 Contributing
We welcome contributions from the community! Here's how you can help:
How to Contribute
- Fork the repository
- Create a feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Contribution Guidelines
- Follow the existing project structure
- Include a detailed
README.mdfor new projects - Add requirements.txt with all dependencies
- Test your code before submitting
- Write clear commit messages
- Update documentation as needed
Report Issues
Found a bug or have a feature request? Please create a GitHub Issue with:
- Clear description of the issue/feature
- Steps to reproduce (for bugs)
- Expected vs actual behavior
- Screenshots (if applicable)
🌟 Star History
Show your support by starring this repository!
📬 Connect With Us
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.