Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.

Build and deploy powerful AI agents using LangChain, Langflow, and GPT-4 – from beginner to advanced.

🤖 Advanced AI agent system combining ReAct reasoning and Plan-Execute strategies with unified memory, reflection patterns, and browser automation tools. Built with LangGraph, LangChain, and Google Gemini.

A modular, multi-agent AI research and report generation platform. Enter any topic, and PolyAgent Research Intelligence orchestrates multiple AI agents to retrieve literature, analyze data, and generate a polished report. Built for researchers and AI/ML engineers, leveraging LangChain, FastAPI, PostgreSQL, advanced LLMs, and a Next.js front-end.

A modular, multi-agent AI research and report generation platform. Enter any topic, and PolyAgent Research Intelligence orchestrates multiple AI agents to retrieve literature, analyze data, and generate a polished report. Built for researchers and AI/ML engineers, leveraging LangChain, FastAPI, PostgreSQL, advanced LLMs, and a Next.js front-end.

Hands-on LangChain and LangGraph study guide covering RAG, LangGraph workflows, multi-agent systems, and advanced agentic AI patterns, with HTML ebook chapters and runnable Python examples.

🤖 Advanced Multi-Agent AI Template: Production-ready system combining Groq's speed with LangChain's flexibility. Features RAG, document processing, and real-time agent collaboration. Built with Streamlit for instant deployment. Ready to customize and scale! 🚀

This repository demonstrates the use of CrewAI to enhance sales outreach and lead profiling using a combination of advanced AI agents and tools. The project leverages CrewAI agents and LangChain to identify high-value leads and craft personalized outreach campaigns.

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

A complete collection of my daily LangChain learning — from basics to advanced applications in LLMs, agents, and AI workflows.

This repository demonstrates how to use a LangChain SQL agent to query Google Cloud BigQuery using the Gemini Generative AI models through Vertex AI. This allows you to interact with your BigQuery data using natural language, leveraging the power of Gemini's advanced language understanding capabilities.

Enterprise LangChain platform with multi-agent collaboration, advanced RAG, local LLM support, and modern web interface. Production-ready AI orchestration for research, coding, and data analysis.

A suite of AI-powered academic writing tools using LangChain, LangGraph, and Gemini LLM. Includes a Thesis Statement Generator, Essay Writer, and advanced Paraphrasing Agents to craft, refine, and humanize content. Ideal for students, researchers, and academic professionals.

Generative-AI-with-Langchain-and-Huggingface explores cutting-edge generative AI concepts. Topics include LangChain basics, ChromaDB, conversational memory, vector databases, document Q&A with RAG, text summarization (refine chains, YT/video summarization), building LLMs, search engines, and advanced tools/agents.

An advanced, multi-backend AI Agent Chat application built with React, FastAPI, and LangChain. Features a rich toolset including web search, code execution, and long-term memory.

⭐Tsara.IA is an AI-powered agent designed to make travel in Morocco smarter, easier, and more engaging. Built with a Retrieval-Augmented Generation (RAG) architecture, it leverages advanced LLMs, LangChain, and Hugging Face embeddings to provide context-aware answers grounded in reliable local data⭐

Discover the future of real estate with our advanced AI chatbot! Developed in Python and powered by Multi LLM, Firecrawl, API, and LangChain, this cutting-edge chatbot is designed to streamline property searches, answer client queries, and enhance customer experiences. Whether you're a real estate agent looking to boost productivity or a tech enthu

AI-powered deep search agents using multiple approaches - from basic web search to advanced LangChain-based research agents with adaptive strategies, multi-source validation, and intelligent synthesis capabilities.

A structured, version-controlled vault of custom AI prompts designed for LangChain, LLM agents, QA automation, and advanced AI workflows. Built using Obsidian, GitHub, and OpenAI — with tags, templates, and smart organization for fast, reusable prompt engineering.

# Generative AI Agent Supervisor Project Welcome to the Generative AI Agent Supervisor Project! This project demonstrates how to use advanced design patterns in LangChain and LangGraph to build a sophisticated agent-based system. With good guidance, you can do anything. Have faith in yourself and break through all the difficulties in life. 🌟

**LangGraph Models** is a curated collection of modular LLM workflows built using [LangGraph](https://github.com/langchain-ai/langgraph). It features step-by-step examples—from basic agents to advanced multi-agent and RAG systems—designed for stateful, memory-aware, and tool-augmented applications.

AI agent-powered real estate chatbot built with LangChain, leveraging advanced LLM-driven tool orchestration for seamless, location-aware property recommendations. Integrates geospatial data and vector embeddings to enable intelligent, context-sensitive house listing searches and personalized user interactions.

Fractal is a sophisticated AI-powered CLI agent that brings intelligent coding assistance directly to your terminal. Built with LangChain and LangGraph, it combines advanced RAG capabilities, multi-database support, and context-aware memory management to provide a seamless development experience.

Explore Retrieval-Augmented Generation (RAG) through practical notebooks that demonstrate how to harness the power of LangChain, OpenAI GPT models, META LLAMA3, and intelligent agents to build advanced, context-aware AI applications capable of retrieving relevant information and generating accurate, concise responses.

Data Harbor is an advanced, autonomous AI-powered platform for data analysis and research. It employs a multi-agent system built with LangChain, LangGraph, and OpenAI to orchestrate a complete research workflow, from hypothesis generation to final report compilation, with strategic human oversight.

Tsara.IA is an AI-powered agent designed to make travel in Morocco smarter, easier, and more engaging. Built with a Retrieval-Augmented Generation (RAG) architecture, it leverages advanced LLMs, LangChain, and Hugging Face embeddings to provide context-aware answers grounded in reliable local data.

A modular agentic Retrieval-Augmented Generation (RAG) system for managing AI model scripts, metadata, and generated images. Supports advanced querying, schema-based validation, image search, model comparison, and Colab notebook generation. Powered by Chroma, LangChain, BGE-M3, OpenCLIP, Deepseek, Streamlit, and a custom Schema Registry.

🤖 Advanced Multi-AI Agent Swarm built with LangGraph & LangChain, powered by Groq API (Llama-3,llama-3.3-70b-versatile) and Tavily API for real-time web search & RAG. Full-stack architecture using FastAPI & Streamlit with secure LLMOps/AIOps CI/CD via Docker, Jenkins, SonarQube, and cloud-native deployment on AWS ECS Fargate.

Advanced AI ecosystem integrating Gemini Models, LangChain agents, and Pinecone for intelligent automation.

More advanced project of Rag chatbot. I used agentic ai including MCD, langchain, langgrapgh.