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.
🎞 Video Resources 🎞
Get started with DataStax: [ Ссылка ]
Langflow Github Rep: [ Ссылка ]
Check out DataStax AI PaaS: [ Ссылка ]
Code in this video (prompts/code/flows): [ Ссылка ]
If you want to land a developer job check out my program with CourseCareers: [ Ссылка ]
⏳ 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 | Updating Data in AstraDB
01:26:27 | Nutrition Form
01:39:27 | Handling Notes
01:44:09 | Ask AI Feature
Hashtags
#aiagents #advanced #tutorial
