Built a Custom AI Chatbot Agent with LangChain, Groq, OpenAI, FastAPI & TAVILY

In this video, I’ll walk you through the development of a Custom AI Chatbot Agent using LangChain, Groq, OpenAI, FastAPI, and Tavely! 🚀

This chatbot is designed to provide users with the flexibility to choose between multiple LLM models from the front end, enabling a seamless and customizable AI experience. Whether you're an AI enthusiast, developer, or business owner looking for an intelligent chatbot solution, this tutorial will help you understand the tech stack, implementation, and deployment of a powerful AI-driven conversational agent.

🔹 What You’ll Learn:
✅ How to integrate LangChain for efficient LLM orchestration
✅ Using Groq and OpenAI to enhance AI performance
✅ Implementing FastAPI for a robust backend
✅ Leveraging Tavely for better data handling
✅ Allowing users to switch between different LLMs dynamically
✅ Live demo of the chatbot in action

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💬 Have questions? Drop them in the comments below! 🔥

#AIChatbot #LangChain #OpenAI #Groq #FastAPI #Tavely #AIChatbots #LLM #AIAgent #ChatbotDevelopment

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