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