Deploy RAG to Production Faster Than You Think

Learn how to deploy your Python RAG/AI project to the cloud in this advanced tutorial. We will turn the app into a public API, and host it on AWS Lambda (which makes it scalable and high-performance). 🔗 Code: https://github.com/pixegami/deploy-ra... 👉 Related Videos (in case you need it) RAG Project Basic Tutorial:    • RAG + Langchain Python Project: Easy AI/Ch...   RAG Project Advanced Tutorial:    • Python RAG Tutorial (with Local LLMs): AI ...   FastAPI Tutorial:    • Python FastAPI Tutorial: Build a REST API ...   Get Started with AWS:    • How to Get Started with AWS • Crash Course   AWS Bedrock (AI):    • Amazon Bedrock Tutorial: Generative AI on AWS   Using Docker on Lambda:    • How to Run a Python Docker Image on AWS La...   📚 Chapters 00:00 - Introduction 04:12 - RAG Recap 11:25 - Project Architecture 13:57 - Adding FastAPI 18:44 - Building a Docker Image 20:54 - Deployment Hacks 25:53 - Local Testing With Docker 29:17 - Build AWS Infrastructure with CDK 42:12 - Creating an Async API 54:11 - Wrapping Up