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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’.

  • Updated Jun 11, 2025
  • Python

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.

  • Updated Sep 7, 2025
  • Python

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.

  • Updated Jun 23, 2025
  • Jupyter Notebook

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