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This is the official companion repository for the book The Complete LangGraph Blueprint: Build 50+ AI Agents for Business Success. The repository provides source code, practical examples, and resources to help you build dynamic AI agents using LangGraph, a cutting-edge graph-based framework for artificial intelligence workflows.
A Virtual Sales Agent that uses LangChain, LangGraph, and Gemini Flash to simulate customer interactions. Features include product inquiries, order management, and personalized recommendations through a user-friendly Streamlit interface.
A WhatsApp AI Agent powered by LangGraph, FastAPI, and Groq. Acts as an empathetic therapist, Dr. Sofia, handling text and voice messages with natural conversations. Supports multi-language, PostgreSQL-backed memory, and real-time synthesis.
LangGraph Practice Examples: This repository contains practical examples of different workflow patterns implemented using LangGraph. Each example demonstrates a specific type of workflow that can be used for various data processing and automation tasks.
A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG), LlamaIndex and LangGraph. Inspired from my Upgrad_IIITB PG Course.
Innovative AI agent implementations using LangGraph—featuring ReAct, RAG (Corrective, Self, Agentic), chatbots, microagents, and more, with multi-AI agent systems on the horizon! 🤖🚀
A LangGraph-powered chatbot with threading, streaming, and SQLite vector DB for semantic search. Includes tools for web search, calculator, and stock prices, with a Streamlit UI for better UX. Integrated with LangSmith for tracing, token usage, latency, and cost analysis.