NirDiamant/GenAI_Agents

Project overview

A collection of 53 step-by-step tutorials and ready-to-use implementations for building Generative AI agents, ranging from foundational conversational bots to complex multi-agent systems. It targets developers, AI engineers, and researchers seeking structured learning resources.

Project type

AI Agent · RAG

Use cases

Automation · Learning & Education

Deployment

Refer to project documentation

License

License pending

Best for

• Developers, AI engineers, and researchers seeking structured, ready-to-use tutorial implementations for building GenAI agents.
• Learners looking for practical examples of multi-agent architectures in educational and business contexts.

Key capabilities

• A collection of 53 tutorials demonstrating various GenAI agent architectures and applications, ranging from basic conversational agents to complex multi-agent systems.
• Tutorial implementations for foundational agents such as simple conversational agents, QA agents, and data analysis agents using LangChain and PydanticAI.
• Implementations for academic planning, literature review automation, and adaptive learning using multi-agent architectures.
• Ready-to-use implementations for customer support, essay grading, travel planning, and contract analysis using LangGraph.

Limitations and risks

• The project uses a custom non-commercial license, restricting its use in commercial production deployments without additional licensing.

Getting started

• Setup is rated as easy and involves cloning the repository, navigating to a technique of interest, and following the implementation guide in the Jupyter notebook.

Evidence and sources

• GitHub project description: 50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
• README: Below is a comprehensive overview of our GenAI agent implementations, organized by category and functionality. Each implementation is designed to showcase different aspects of AI…
• README: Our goal is to provide a valuable resource for everyone - from beginners taking their first steps in AI to seasoned practitioners pushing the boundaries of what's possible. By off…
• README: Recently added: Document Intake Agent, HR AI Assistant, Art Tourguide with LightRAG, Contextual Quoting System, ML/DS Assistant | 53 tutorials and growing
• README: 1. **Simple Conversational Agent** - **[LangChain](https://github.com/NirDiamant/GenAI_Agents/blob/main/all_agents_tutorials/simple_conversational_agent.ipynb)** - **[PydanticAI](…

Reviewed at: 2026-07-17T10:59:55Z