Uploaded June 2024 | Updated September 2026, 4 hours ago

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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: github.com/pixegami/deploy-rag-to-aws

👉 Related Videos (in case you need it)
RAG Project Basic Tutorial: youtu.be/tcqEUSNCn8I
RAG Project Advanced Tutorial: youtu.be/2TJxpyO3ei4
FastAPI Tutorial: youtu.be/iWS9ogMPOI0
Get Started with AWS: youtu.be/LFCTFzcMQuA
AWS Bedrock (AI): youtu.be/kwkaBrK_-Bs
Using Docker on Lambda: youtu.be/wbsbXfkv47A

📚 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