Deploying a Retrieval-Augmented Generation (RAG) in AWS Lambda

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  • เผยแพร่เมื่อ 2 มิ.ย. 2024
  • 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/cli/
    ▸ Docker: Download and install Docker: www.docker.com/products/docke...
    ▸ AWS Lambda Interface: aws.amazon.com/lambda/
    ▸ Amazon ECR Interface: aws.amazon.com/ecr/
    ▸ ARN for popular packages: api.klayers.cloud/api/v2/p3.1...
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