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Gen AI Experiments

Collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies

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🚀 Gen-AI-Experiments

A curated collection of 130+ production-ready Gen AI apps, agents, and experiments. Built with LangChain, RAG, AI Agents, Multi-Agent Teams, and more.

🤔 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:
- Nano Banana 2 Cookbook

`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:
- Fine-Tuning LLMs with Nebius TokenFactory

`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:
- Project README

📈 Trending Notebooks

Curated from recently updated and high-interest notebooks available in this repository.

🚀 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.md for 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.md for 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

💡 Have questions or want to collaborate?

Reach out to us at satvik@buildfastwithai.com

Made with ❤️ by BuildFastWithAI

⭐ Star this repo if you find it helpful!