Agentic AI crash course using langgraph framework

Multi-agent AI research system — finds academic papers via semantic search & citation snowballing, then answers questions over them using agentic RAG with self-reflection. Built with LangGraph, FastAPI, Celery, and Qdrant.

A sample agentic ai platform to run agentic workflows on AWS using either EKS or Bedrock AgentCore with open source frameworks like LangChain/LangGraph, Strands, etc..

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.

Agentic AI PowerPoint Slide Generation using LangGraph and GPT-4o

Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents, branching workflows, memory persistence, human-in-the-loop, multi-agent systems, and production deployment. Supports 14+ AI coding agents via Agent Skill Standard.

Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems.

A Streamlit webapp deployed on Hugging Face Spaces featuring multiple AI agents built using LangGraph, LangChain, and LLMs. Includes a Startup Idea Validator, Travel Planner, and Agentic AI Chatbot with tools like web search and code execution etc. A modular platform for real-world, graph-driven multi-agent AI interactions.

Automated SDLC Workflow using Agentic AI, LangGraph, and Human-in-the-Loop Interrupts

Develop a production-ready Stateful Agentic AI System that remembers, reasons, and deploys tools using LangGraph and Groq. This project involves building a modular application with a Basic Chatbot, a Tool-Augmented Agent, and an AI News Aggregator, emphasizing end-to-end implementation and professional deployment.

The Meghkosh Classroom Series – Agentic Cohort is a guided, follow-along codebase that teaches practical agentic AI development using LangChain, LangGraph, and Crew. Participants build step-by-step from fundamentals to a complete multi-agent workflow, culminating in a hands-on deployment within Meghkosh Azure Labs for real-world experience.

🚀 Build a production-ready Agentic RAG system with LangGraph using minimal code and streamline your AI development process.

Innovative AI agent implementations using LangGraph—featuring ReAct, RAG (Corrective, Self, Agentic), chatbots, microagents, and more, with multi-AI agent systems on the horizon! 🤖🚀

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

An end-to-end Machine Learning and Agentic AI system to predict customer churn and generate structured retention strategies using LangGraph and Open-Source LLMs.

In this project, you'll build a simple multi-agent system using LangChain, LangGraph, and NetworkX. You'll then deploy this system as a web application using Flask, Docker, and Terraform. This hands-on experience will introduce you to Agentic AI concepts and modern deployment practices.

🤖 Agentic AI investment system using AWS Bedrock AgentCore, Strands Agents & LangGraph. Four AI agents for financial analysis, portfolio design & risk management.

This repository contains various implementations of AI agents using LangGraph, demonstrating different patterns and use cases for building intelligent, tool-enabled conversational systems. Each project explores different aspects of agentic AI development, from basic chatbots to sophisticated RAG (Retrieval-Augmented Generation) systems.

A comprehensive guide and resource collection for building sophisticated agentic AI systems with LangGraph.

Making Agentic AI workflows using Langgraph

Agentic AI Chatbot (LangGraph + RAG) An agent-based AI chatbot built using **LangChain**, **LangGraph**, and **Streamlit** with tool usage and document-based question answering.

Agentic AI Application built using LangGraph to Communicate with Enterprise Database in Natural Language and retrieve data back

This repository contains agentic AI applications build using various frameworks like phi data, autogen, crew, smolagents, Langgraph etc.

🧳 An agentic AI travel assistant built using LangGraph and LangChain. It helps users plan personalized itineraries while tracking expenses — built for smart explorers!

AI-powered rural healthcare system built with Django using an Agentic RAG architecture (LangGraph + LangChain). Combines local document retrieval with SerpAPI web search fallback. Includes chatbot, appointments, awareness campaigns, and document management.

Agentic AI-powered HR automation platform built with LangGraph, LLMs, and Python. Instant CV Intelligence for Modern Hiring Teams - AI evaluates resumes in seconds using autonomous AI agents — saving recruiters hours, reducing time. Complete end-to-end code based solution - Fully tested

Agentic BI SaaS platform for natural language analytics using LangGraph, LangChain, LLMs (OpenAI, LLaMA, Mixtral), RAG with FAISS/Chroma, SQL & BI agents, MCP tools, and long-term AI memory (mem0). Built with FastAPI, Streamlit, Plotly, SQLAlchemy, PostgreSQL,Docker,Kubernetes,governance, lineage, RBAC,usage-based billing,SaaS & on-prem deployment.

Email helper using a Knowledge Graph built on top of a tailored RAG system leveraging FastAPI, LangGraph and Gemini to filter your Gmail inbox. Agents toss spam, scams and ads in the trash. This agentic AI system learns your preferences on what emails to keep and what to throw away.

AI agentic school built using Langgraphjs and Langgraph Studio.

MedAssist AI – Agentic AI Medical Assistant using LangGraph + RAG + FastAPI + Streamlit