How to Build a Production-Ready RAG AI Agent in Python (Step-by-Step)

Great video! The practical examples make it much easier to understand how RAG works in real-world applications. I can see a lot of potential for RAG system implementation for retail, especially when it comes to delivering accurate product information and personalized shopping experiences. Looking forward to more content like this.

Would be great to see some video comparing RAG approach based on embeddings against one based on GraphRAG.

Great insights on real-world RAG reliability!

Hi Tim, can you please create a video to show the RAG app creation using langGraph, it will be very helpful, thanks..

Just used some of your older tutorials to create an Crypto trading AI agent with a React UI and Discord integration for alerts. Appreciate you putting out content!

Hi Tim. Thanks a lot for this video. As a person just getting into learning AI and RAG, it was a great place to start and really understand the concepts. As a poster said below, some of the code had to be changed, since there were changes in the inngest and quadrent libraries and i was also interested in using the agent_framework and Azure Foundry as opposed to pure OpenAI, but with Tims code and a little bit of help from chat gpt managed to get a great working version. Thanks again Tim! Amazing stuff.

Pretty cool tool. I am currently looking AWS Bedrock and Copilot Studio for orchestration. I am fairly new to this game.

u are my lifesaver!!! i am not a coder at all, but im doing masters in IT in Auckland. and this is exactly my master's project. im excited to get started with this project

wow, just what I needed. more vids like this please ❤

Wish I saw your tutorial when I was struggling! Lol I gave up on building my own vector store and just plugged in Backboard IO. Saved me like 2 weeks of headaches trying to get the context window right.