How to build a Multi-Agentic Systems for RAG using LangGraph - Full project

Multi-agent autonomous research system using LangGraph and LangChain. Generates citation-backed reports with credibility scoring and web search

Multi-Agent Retrieval-Augmented Generation (RAG) Customer Support System using Python, LangChain, and LangGraph.

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.

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models — with reproducible notebooks and a full supervisor-led agent workflow.

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.

Autonomous multi-agent system for intelligent HDB resale search — combining geospatial analytics, MRT proximity, and price intelligence using DeepAgents, LangGraph, FastAPI, Gradio UI, and MCP Toolbox. Fully Dockerized with reproducible data ingestion pipelines.

AI-powered(Lovable clone) React app builder using natural language. Multi-agent system with LangGraph orchestrates code generation in isolated E2B sandboxes. FastAPI backend with WebSocket streaming, Next.js frontend, PostgreSQL storage. Supports OpenAI, Google Gemini, Anthropic & HuggingFace LLMs.

A progressive, hands-on tutorial for building multi-agent code review systems using LangGraph architectural patterns.

Multi-agent orchestration system for generating investment memos using LangGraph

A multi agent healthcare assistant system implemented using Python and Langgraph. The agents include icd10 code extractor, SOAP document generator and medical image report generator. This project uses one of the latest LLMs, MedGemma model.

Agents & Arbiters is a multi-agent AI text adventure game inspired by Zork. I was created to explore and demonstrate multi-agent system with multi-channel state using LangGraph.js.

An advanced Multi-Agent RAG system using Python, LangChain, and LangGraph to query diverse databases like SQLite, MongoDB, Neo4j, and MeiliSearch.

A go-to repository for building web search agents and multi-agent systems using LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI. It includes a multi-agent email response agent, LLaMA OCR, and a multi-agent travel planner, enabling autonomous and intelligent workflows. 🚀

A collection of demonstrations showcasing different patterns for implementing multi-agent workflows using LangGraph. Each example highlights specific orchestration approaches to help developers understand and build collaborative AI systems.

This repository provides a curated collection of practical examples showcasing a variety of agent design patterns and applications. It includes hands-on demonstrations for building and orchestrating multi-agent systems using leading frameworks such as Google’s Agent Development Kit (ADK), LangGraph, CrewAI, AutoGen and others.

A state-of-the-art multi-agent travel planning system built with LangGraph, Google Gemini Flash-2.0, and DuckDuckGo Search. The system offers three different planning approaches, from traditional single-agent to cutting-edge multi-agent collaboration using modern industry frameworks.

A production-grade multi-agent AI workflow system using LangChain and LangGraph to create animated moral story videos for children. This system uses six specialized agents that collaborate to transform a story context into a complete animated video.

An autonomous risk-overlay system simulating a hedge fund Investment Committee. Uses Multi-Agent Architecture (LangGraph) to validate algorithmic signals by combining deep-learning volatility forecasts (VolSense) with fundamental semantic reasoning and CVaR constraints.

A multi-agent system for AI-driven market research, use case generation, and resource collection. It utilizes Langchain, Langgraph, Gradio and Tavily API to research industries, generate AI/ML use cases, and gather datasets and tools. This system helps organizations explore AI solutions and implement innovative strategies effectively.

ADAPT is an autonomous network troubleshooting system that uses AI-driven agents to diagnose and solve network issues. The system utilizes a multi-agent workflow powered by LangGraph and PydanticAI to provide intelligent, step-by-step troubleshooting of network problems.

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

Multi-agent AI coordination system using LangGraph, Claude Sonnet 4.5, and Gemini 2.5 Pro for intent matching and settlement

AI-powered healthcare provider validation system using multi-agent architecture with LangGraph, Mistral AI, and vector embeddings for automated NPI verification and trust scoring

This project demonstrates how to build a multi-agent time series forecasting system using LangGraph, a graph-based orchestration framework, and local LLMs via Ollama. The system compares traditional forecasting (via Prophet) with LLM-based predictions, evaluates performance, and explains the results using an LLM.

An AI-powered workflow automation system that fetches code from GitHub, analyzes its structure, generates technical documentation, and updates Confluence. Uses LangGraph for multi-agent orchestration, OpenAI for code analysis, and Streamlit for an interactive UI. Automates documentation and keeps it up to date effortlessly. 🚀

LangGraph Multi-Agent System This repo demonstrates how to build intelligent workflows using LangGraph. Start with a simple single-agent and scale to multi-agent routing using LLMs, Serper search, and math logic — all orchestrated with LangGraph.

Multi-Agent system with Supervisor an Coordinator agent using LangChain, LangGraph, Gemini, ChromaDB, Streamlit.