A self-contained multimodal AI agents lab built using MongoDB, Gemini and LangGraph.

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Quick swarm orchestration with generalist agent and a sql agent (chief recipe)

A self-contained AI agents lab using MongoDB, Gemini and LangGraph

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.

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Wiii - Multi-domain Agentic RAG Platform by The Wiii Lab. FastAPI + LangGraph + Gemini + PostgreSQL + Neo4j. Tauri v2 desktop. 6016 tests.

Agentic RAG lab with FastAPI + Streamlit: document ingestion to Chroma, LangGraph routing (direct/retrieve), Ollama LLM/embeddings, LLMOps observability via Langfuse + Ragas eval, optional Postgres memory, Keploy replay tests, CI.

A comprehensive LangGraph quickstart application demonstrating AI agent workflows with proper architecture and best practices.

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A hands-on workshop to master LangGraph and build multimodal Telegram agents. Learn core concepts, ReAct loops, router patterns, TTS/STT, VLMs, and image generation through interactive Google Colab labs, culminating in a fully functional, customizable Telegram AI agent.

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This is my langraph repo to learn langraph with Ollama.

lab langgraph agents langchain

Collection of autonomous AI agents and stateful workflows built with LangGraph, focusing on web research and structured reasoning

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Architecting production-ready AI agents using LangGraph and SQLite. Exploring state persistence, cyclic workflows, and robust tool-calling patterns

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This is a repo to upload my labs and projects during the "AI Agents in LangGraph" short course offered by DeepLearning.AI

Covers Generative AI, LLMs, RAG, LangChain, LangGraph, and Agentic AI systems — blending theory, implementation, and evaluation through real-world projects and labs.

🚀 LangGraph Lab — A step-by-step journey into the world of Agentic AI! Building complex, API-powered multi-agent workflows while mastering LangGraph from the ground up. From simple nodes to intelligent orchestration — watch the graph come alive.

A POC application that automatically generates structured patient health reports from lab results, genetic data, and medical records using LangGraph agents and Gemini AI with online validation.

Full-Stack Generative AI Labs. Hands-on project implementations covering Agentic Flows (LangGraph), advanced RAG pipelines, Vector DBs (Qdrant/Chroma), and scalable FastAPI deployment. Demonstrates mastery of the modern AI stack.

A stateful, production-ready customer support agent built with LangGraph, Gemini, and Streamlit. This project simulates a real-world support bot for "Orion Labs," a premium electronics company, handling product return requests from start to finish.

This repository is a personal experimentation lab where I explore AI agents frameworks such as OpenAI SDK, CrewAI and LangGraph to build autonomous, tool-using agents. The environment is managed using the ultra-fast uv Python package manager.

A sophisticated multi-agent AI system for managing medical appointments and lab tests and diagnostics. Built with LangGraph, FastAPI, and Next.js, this system uses an agentic architecture to intelligently route and handle patient requests through specialized agents.

A full-stack AI & ML engineering lab covering Python, Statistics, NumPy, Pandas, Matplotlib, Machine Learning, Deep Learning (ANN, CNN), Computer Vision (OpenCV, YOLO), NLP, LangChain, LangGraph, and Generative AI (RAG, LLMs, Embeddings, Agents). Includes FastAPI and hands-on projects.

PrepAI is an AI-powered interview preparation app that turns a job description and resume into a personalized mock interview with real-time scoring and a coach-style final report. Built with Gradio, FastAPI , LangGraph, OpenAI API, Eleven Labs and Whisper,done as part of a hackathon.

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