ADVANCED Python AI Agent Tutorial - Using RAG, Langflow & Multi-Agents

If you're interested in building AI Applications then stick around, because I've got a great tutorial for you. In this video, I'm going to be showing you how to build a Multi-A.I. Agent Application, in just a few minutes using a fantastic tool called Langflow.

🎞 Video Resources 🎞

⏳ Timestamps ⏳
00:00 | AI Agent App
00:44 | Project Demo
03:57 | LangFlow Setup
08:35 | Building a RAG Agent
18:42 | Adding RAG Data
22:30 | Adding Multi-Agents & Tools
27:18 | Adding Sample Data
26:30 | Order & Product Lookup Agent
35:10 | Running the Agent via API
42:20 | Streamlit Frontend
46:51 | Weighing RAG Results

Hashtags
#pythontutorial #langflow #aiagents

[StarStrider]

Dude, this is freakin' great! I can't believe this video hasn't gotten over 100k views yet.

[Adamsfault]

Thank for all the hard work you put into these tutorials. I’ve watched thousands of hours of worth of tutorials on YouTube and you are among the best. Keep up the hard work.

[Master_of_Chess_Shorts]

Man this is dense and excellent, no time wasted! Really good example. I have to look at the security side of this solution. Thanks a lot for producing great content.

[geneanthony]

Awesome tutorial. Gave me a lot of what I needed for my project.

[Matt-meyh]

This was worth every minute to work through. Thank you for making it so easy to understand, and setting a solid foundation to build from. You are an excellent communicator!

[purvislewies]

you getting better and smarter...blessed brother

[Ari-pqdb]

Awesome vid Tim, We need more on AI agents ❤🎉

[iamdihan]

I built this the other day with Node and React using langchain and supabase.

[richmondbaye]

Just started and I love it already. thank you for this great tutorial

[MrRPierre]

Thank you and congrats for this awesome tutorial !

[HasanMoni-qg]

awesome tutorial!
want more end to end projects with langflow and streamlit/flask/Django.

[Will-fbd]

tim is a genius thanks for all the helpful videos man

[shirohito]

Great video, thanks Tim. But could you make additional video on how to evaluate nd analyse the performance as well as add bar charts

[daring]

Getting a 'failed to load data' error when trying to uplaod the sample csv data @28:44.

[robrita]

4k stars were added because of this video!!

[rodruggs]

Thanks for the amazing content! It's super helpful and you make everything so easy to understand. Keep it up!

[daliborzalesak]

very inspiring as always, thanks a lot!

[matts]

Tim, @38:06 your token accidentally leaks.

[maxlevene]

Great tutorial. Thank you for the detailed update from the previous langflow episode, since they updated so soon. I followed everything and got a slightly different test response from the frontend:
"I'm currently unable to provide specific details about the cancellation policy. However, generally, most companies allow cancellations within a certain timeframe after placing an order, typically before the order has been processed or shipped.

If you have a specific order in mind or need assistance with a cancellation, please let me know!"


I have all of the data setup in my database as followed in your video. Do you know why this happened and how it can be avoided?

[homiranda]

Hi Tim, great job on this! I need your advice on debugging the flow where the system accesses the "products" and "orders" tables. My flow is identical to yours but isn’t retrieving any data from the tables.
I noticed that disconnecting the FAQ module and ManagerAgent resolves the issue, and the "products" and "orders" responses work as expected. It seems the ManagerAgent has trouble handling results from both tools. The same issue occurs when I import your JSON file into LangFlow. Appreciate your help!