Deploy your RAG/AI App to AWS Cloud • Step-by-Step Tutorial
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- Опубликовано: 25 июн 2024
- 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-ra...
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📚 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
that's pure gold, ty!
It is really useful. Thanks a lot.
awesome, more videos about AI, please🙂
This was great! Thank you.
Great video. It is very complete!!! I only have one question: Why didnt you use a cloud hosting for the vector database? (Like Pinecone, for example). I mean, in Production enviroment is more efficient, isnt it? Thank you for your content! Keep it going :)
Awesome video bro! Why not use AWS Kendra for the RAG block? You woulda save at least half of the video and Infra issues you faced. Still good for learning, nice job!
Why don't you use a WebSocket for communication with the ChatBot?
Great video why you didn't use azure open ai llm because most of the companies using closed openai like azure so.. We can learn azure open ai services so create video with azure open ai llm with multimodal support rag application ( input multiple pdfs with images and tables and text) and integrate with streamlit..
post the vdo by using azure open api key
Azure open ai embedding and azurechatopenai for multiple pdfs rag application..
Using azure open api end point there are no videos on RUclips so it would be helpful.. 😊
Love your content!
Love your content!
Love your content!