This project demonstrates a complete workflow that uses 'LangGraph', a stateful orchestration framework to streamline the coordination and the integration of Large Language Models (LLMs) like OpenAI’s GPT-4o-mini with real-time search APIs like ‘Google Search’.

Langgraph Agentic Chatbot

This is a simple chatbot project built using LangGraph, a graph-based framework for orchestrating LLMs, and powered by the Groq API with the LLaMA3-8B-8192 model. The chatbot demonstrates how to structure conversational flows using state graphs and message reducers for memory. Ideal for learning how to integrate LLMs into modular applications.

Project to learn and understand LangGraph basics

A lightweight, modular LLM agent framework built using LangGraph, powered by Groq's ultra-fast LLaMA3-8B model. This project demonstrates how to create a goal-oriented agent that breaks down a user prompt into sub-tasks, executes each one using LLM reasoning, and summarizes the outcome — all within a structured graph-based flow.

A multi-agent research assistant built using LangGraph