ADVANCED Python AI Multi-Agent Tutorial (RAG, Streamlit, Langflow & More!)

From the creator

In this video, I will be providing you with a walkthrough on how to build an advanced multi-agent AI app through Python, Langflow, Astra DB, Streamlit, and more. This app will use multiple LLMs that to handle different tasks, routing those tasks to different LLMs, and will even have a full frontend that allows you to interact with the completed application. It's one of the most advanced AI apps I've built on this channel so be sure to stick to the very end of this tutorial to learn everything it has to offer and have the power to build some insanely cool apps. Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide How to Make Money With Coding instantly: https://techwithtim.net/newsletter 🎞 Video Resources 🎞 Get started with DataStax: https://dtsx.io/techwithtim-astradb Langflow Github Rep: https://dtsx.io/techwithtim-langflow Check out DataStax AI PaaS: https://dtsx.io/techwithtim-aipaas Code in this video (prompts/code/flows): https://github.com/techwithtim/Advanced-Multi-Agent-Workout-App ⏳ Timestamps ⏳ 00:00:00 | Video Overview 00:01:26 | Project Demo 00:05:10 | Langflow Setup 00:08:03 | Building a Simple Flow/Agent 00:17:45 | Building a Complex Flow/Agent 00:39:35 | Using the AI From Python Code (Locally) | 00:39:35 00:46:50 | Using the AI From Python Code (Cloud) 00:53:40 | Frontend Setup 00:56:07 | Personal Data Form 01:01:57 | Saving Data in AstraDB 01:17:05 | Updat

Published 2024-10-23 · Watch on YouTube ↗
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