Get started with Inngest: https://innge.st/yt-twt-1

I'll show you how to build an AI rig application in Python and how to get it ready to deploy to production. I myself have made many AI projects on this channel, you've probably seen a few of them. And while those projects are super fun and cool and you can learn a lot, they're not ready to be deployed into the wild and used in a production environment. That's because they're missing observability, logging, retries, throttling rate, limiting all of the things that you need for a real production grade AI app.

DevLaunch is my mentorship program where I personally help developers go beyond tutorials, build real-world projects, and actually land jobs. No fluff. Just real accountability, proven strategies, and hands-on guidance. Learn more here - https://training.devlaunch.us/tim?video=AUQJ9eeP-Ls

🎞 Video Resources 🎞
Inngest Python Docs: https://www.inngest.com/docs/apps
Qdrant: https://qdrant.tech/
LlamaIndex: https://www.llamaindex.ai/
Code in this video: https://github.com/techwithtim/ProductionGradeRAGPythonApp

⏳ Timestamps ⏳
00:00:00 | Overview
00:01:21 | Project Demo
00:04:07 | Architecture & Tools Breakdown 
00:08:23 | Project Setup & Dependencies
00:11:22 | API Setup
00:12:10 | Inngest Dev Server Setup
00:25:06 | Vector Database Setup
00:36:48 | Loading & Chunking PDFs
00:58:09 | Querying Our VectorDB
01:08:54 | Adding the Frontend 
01:13:56 | Rate Limiting, Throttling & Concurrency

Hashtags
#RAGCoding #AIAgent #Python

TechWithTim, founded by Tim Ruscica, is a popular YouTube channel and blog offering tutorials, guides, and projects on programming, game development, and machine learning. With a friendly and approachable teaching style, Tim covers a wide range of topics, including Python programming, game development with Pygame, and machine learning algorithms with TensorFlow and Keras. Developers of all skill levels can benefit from TechWithTim's engaging content and hands-on coding projects, making it an in resource for learning and honing technical skills.

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