Deploying a Retrieval-Augmented Generation (RAG) in AWS Lambda
Deploying a Retrieval-Augmented Generation (RAG) model in AWS Lambda using Docker and Amazon ECR, with LangChain. The tutorial covers the necessary setup, including downloading and installing the AWS CLI, Docker, and accessing the AWS Lambda and ECR interfaces. It provides a step-by-step guide to preparing your environment, creating a Dockerfile, building and pushing your Docker image to ECR, creating a Lambda function, configuring it, and testing it. This hands-on tutorial is perfect for developers looking to leverage serverless computing and containerization for deploying advanced language models.We will use:
✦ Docker and Amazon ECR: Using Docker for containerization and Amazon ECR for storing Docker images.
✦ LangChain: Develop RAG base system
✦ AWS Lambda Deployment: Deploying the RAG model as a serverless function in AWS Lambda.
📚 Key Sections
►Preparing Your Environment: Setting up AWS CLI, Docker, and accessing AWS Lambda and ECR interfaces.
►Creating a Dockerfile: Defining the environment for the Lambda function.
►Building and Pushing Docker Image to ECR: Steps to build and push the Docker image to Amazon ECR.
►Testing the Lambda Function
⭐️ Contents ⭐️
00:00 Introduction
00:57 AWS Lambda, ECR, Docker Overview
2:10 Code Walkthrough
6:16 Building Docker Image
11:10 AWS ECR Repository Creation and Push
14:43 Lambda Function Creation
16:25 Lambda Configuration
19:20 Testing Lambda Function
20:49 Summary and Conclusion
Article: / deploying-a-rag-applic...
📚 Resources 📚
▸ WS CLI: Download and install the AWS CLI : aws.amazon.com...
▸ Docker: Download and install Docker: www.docker.com...
▸ AWS Lambda Interface: aws.amazon.com...
▸ Amazon ECR Interface: aws.amazon.com...
▸ ARN for popular packages: api.klayers.cl...
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Пікірлер: 16
Really Nice! Keep going. You deserve more subscribers.
@AboniaSojasingarayar
Ай бұрын
@@htayaung3812 Thank you so much for your support! I'm working to bring more tutorials.
Very nice video, learnt a lot
@AboniaSojasingarayar
4 ай бұрын
Thank you! Glad it helped🤓
Nyccc Mam 😍
@AboniaSojasingarayar
4 ай бұрын
Glad it helped 😊
Nice video
@AboniaSojasingarayar
4 ай бұрын
Thanks Akshay. Glad it helped!
streaming does't work via doing this. I wrote code from scratch without langchain.
@AboniaSojasingarayar
14 күн бұрын
@@Basant5911 can you share your code base and error or issue that you are facing currently please?
You used a webpage as a data source for the RAG app, what If I add pdf file instead of the webpage as a data source, how can I deploy it in aws lambda?
@AboniaSojasingarayar
27 күн бұрын
To build RAG with pdf in AWS ecosystem, you need to follow steps that involve uploading the PDF to an S3 bucket, extracting text from the PDF, and then integrating this data with your RAG application.
@MohamedMohamed-xf7wh
27 күн бұрын
@@AboniaSojasingarayar Can I locally extract text from pdf and build vector DB locally using vscode and then build the docker image and push it to ECR AWS like what you did in the video?
@AboniaSojasingarayar
27 күн бұрын
@@MohamedMohamed-xf7wh Yes, you can locally extract text from PDF files, build a vector database and then prepare your application for deployment on AWS Lambda by building a Docker image and pushing it to ECR. But which vector db are you using? It can be accessible with API?
@MohamedMohamed-xf7wh
27 күн бұрын
@@AboniaSojasingarayar FAISS .. what is the problem with vector db?
@AboniaSojasingarayar
23 күн бұрын
@@MohamedMohamed-xf7wh Great!