In my latest YouTube tutorial, 'Build Your Own Perplexity Lite Using LangGraph, GPT4, and Tavily AI,' I dive into the fascinating world of creating search or discovery apps using some cuttingedge tools. This video is a mustwatch for anyone interested in application development with advanced AI technologies.

In this tutorial, I explore how to utilize LangGraph, a library designed for building stateful, multiactor applications. LangGraph, built on LangChain, allows for the coordination of multiple 'actors' in a cyclical computation process. This is particularly useful for adding cycles to your LLM applications, extending beyond the capabilities of a traditional DAG framework.

I also introduce Tavily AI, an incredible tool for rapid insights and comprehensive research. Tavily AI streamlines the research process, from source gathering to organizing results, making it an invaluable asset for developers.

Of course, the tutorial wouldn't be complete without discussing GPT4, a large language model that's pivotal in the development of advanced AI applications.

By combining these tools, I've managed to create an application similar to Perplexity AI, known for its ability to unlock knowledge through information discovery and sharing.

If you're as excited about Generative AI and software development as I am, this tutorial is for you. Don't forget to like, comment, and subscribe to stay updated with my latest content.

Find Tavily AI here: https://tavily.com/
Find LangGraph here: https://python.langchain.com/docs/lan...

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