A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

Learn about the fundamentals of LangGraph through a series of notebooks

这是一个 LangChain 1.0 和 LangGraph 1.0 的学习仓库，学习如何进行agent开发，涵盖从基础概念到实战项目的完整学习路径。

learning resource of langgraph for dummy

A repo to help you learn LangGraph

Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.

Comprehensive tutorials for LangChain, LangGraph, and LangSmith using Groq LLM. Learn to build advanced AI systems, from basics to production-ready applications. Covers key concepts, real-world examples, and best practices. Ideal for beginners and experts alike. Elevate your AI development skills!

Learn how to create an AI Agent with Django, LangGraph, and Permit.

In this tutorial we will learn how to create a powerful AI chatbot using LangGraph, FastAPI, and Streamlit.Learn to define a FastAPI backend endpoint for processing requests, integrate LangGraph agents with dynamic model selection, and design an intuitive Streamlit UI for seamless user interaction.

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langgraph_learn

Learn about the fundamentals of LangGraph through building an ambient email agent

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This comprehensive guide details agent development using LangChain and LangGraph, blending hands-on experience with official documentation insights. It covers core components, personal reflections, and full code examples.

This repository contains detailed introduction to Langgraph, a new Langchain library. You will learn about langgraph and also create a miniproject using crewai and langgraph

A hands-on playground to learn and experiment with LangChain, LangGraph, LangSmith, and OpenAI in Python and TypeScript.

Updates on Langgraph learning

Learn and Build Local AI Agents with Langchain, Langgraph and Ollama

AI-Tutor is a modular educational assistant that leverages advanced LLMs and agentic AI workflows to help students learn science and technology. It integrates LangChain for LLM orchestration, LangGraph for agent execution, LangSmith for monitoring and analytics, FAISS for vector-based retrieval, and Gradio for a user-friendly web interface. Student

An intermediate-level, comprehensive LangGraph course, focusing on practical use cases.

A proof of concept for Continuous Learning in AI Agents using LangGraph and Reflexion technique. The agent learns from mistakes and transfers knowledge to new tasks via long-term memory. 🧠🤖

langgraph-learn

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This Repo contains notebooks for the Deeplearning.ai Course on Agents and Langraph. This course is about how to build an agent from scratch using Python and an LLM, and how to rebuild it using LangGraph. You will also learn about its components like Persistence, Streaming and Human in the loop integration.

Learn Agentic AI using Autogen, CrewAI, LangGraph, and Knowledge Graphs.

Learn about LangGraph’s components and how they enable the development, debugging, and maintenance of AI agents.

learn langgraph step by step

sample code to learn LangGraph platform

A hands-on guide to building and orchestrating AI agents with LangGraph and CrewAI, from fundamentals to deployment with FastAPI and Streamlit. Learn agent architecture, memory management, and production patterns.

A Python-based chatbot with long-term memory using LangGraph and LangMem. Powered by Azure ChatGPT and local embeddings (all-MiniLM-L12-v2), MemBot learns user preferences over time—starting simple, then growing smarter step-by-step.