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

preview_player
Показать описание
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 🎞

⏳ 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
Рекомендации по теме
Комментарии
Автор

The Langflow interface has changed (considerably!) so expect to spend some time and work on those sections. For example, you can’t run his ‘simple flow/agent' (14:14) in the playground; replace Text Output with Chat Output if you want to try that. Otherwise check for errors by clicking the run arrow on Text Output, which will run the flow and show errors.

Some of the recent posts below show fixes for other problems.

jimaustin
Автор

I am a computer engineering student, and you have been making me to stand out, thanks!!

nobleman-arts
Автор

New version tip: If you cant find the conditional router node, its because ithas been removed. You can instead use if-else node in the Logic section of nodes.

Aman-yure
Автор

Thank you! I'm over half way through and you explain it all so well!

AmyAmandas
Автор

Finished the complete tutorial. Can't thanks enough for this wonderful tut.

shamirshakir
Автор

hi Tim, thanks for your wonderful work.
it would be nice if you could make full ai course video from beginners to advance

python.madeeasy
Автор

Hi Tim, love all your videos. Thanks for the great content and outstanding teachings❤❤❤

douxdoux
Автор

If anyone facing issues with playground, which most likely due to their fast updates, you can just type your inputs, similar to the tutorial in each text input text component ( for example in goals: muscle gain or lose weight and also the profile ), then just click the play button on the text output component, that'll run the entire flow. To see the output, you can click on inspect output ( bottom right corner of the output text component ). I hope I'm not that late :)

TarnishedG
Автор

Wow this perfect as I am building my personal fitness tracker at the moment

wurstgesicht
Автор

In one month, langflow changed so much that one can not fully replicate this because the components changed a lot.

renequinones
Автор

Hi. Bro your videos are so helpful, i working on some ai projects and it needs web scraping, i have no idea . You posted a video. Im working on frontend you posted streamlit, now im working agents you posted this video.💥Your videos are so helpful.
Thank you.🔥🔥

VishnuTrinai
Автор

wow, been waiting for this one.. Thanks much 🙌

viveksuryavanshi
Автор

Great video, thanks for creating this and step thru to help many build agentic workflows.

SamBeera
Автор

@TechWithTim Great video. Thanks!!! How about adding Citations and integrating with Langfuse? Do we have inbuilt capability in langflow?

gaurangak
Автор

Tim, this is an excellent video tutorial!, I was wondering if it's possible to replace OpenAI with any internal LLM model deployed as a service. Additionally, can LangFlow be fully downloaded for local use without requiring LangFlow's API key?

ankit
Автор

Would be great to see an updated video using the current Langflow interface. Unfortunately, way too much has changed to complete the project.

steve_fall
Автор

Many thanks for creating this tutorial. 👏

alirezaf
Автор

at 14:15 you used the Playground to test the flow, but the playground is disable if the input and output are text. is there a workaround without changing it to 'chat' type?

shapiraitay
Автор

Hey Tim, I don't know is it only me or not but connecting to Tool Calling Agent to Text Response, it just popped up as, "No compatible components found", but on other hand you were able to make it connect idk how but how to solve this? 24:50

TanmayBhatgare
Автор

Hey Tim, great video. I wanted some suggestions from you. As you have already build the fitness tracking app, any ideas or suggestions for what else I can build on the same lines of using multiagent LLMs?

kaustubhgupta
welcome to shbcf.ru