{"id":7185,"date":"2024-09-11T09:42:42","date_gmt":"2024-09-11T07:42:42","guid":{"rendered":"https:\/\/blog.besharp.it\/?p=7185"},"modified":"2024-09-11T11:54:50","modified_gmt":"2024-09-11T09:54:50","slug":"building-a-claude-3-ai-agent-with-aws-bedrock-amazon-api-gateway-and-aws-lambda-a-comprehensive-tutorial","status":"publish","type":"post","link":"https:\/\/blog.besharp.it\/building-a-claude-3-ai-agent-with-aws-bedrock-amazon-api-gateway-and-aws-lambda-a-comprehensive-tutorial\/","title":{"rendered":"Building a Claude 3 AI Agent with AWS Bedrock, Amazon API Gateway, and AWS Lambda: A Comprehensive Tutorial"},"content":{"rendered":"\n

Introduction<\/h2>\n\n\n\n

In the rapidly evolving landscape of artificial intelligence, creating intelligent agents that can interact with users and API- based systems has become increasingly important. <\/p>\n\n\n\n

This tutorial will guide you through the process of building a Claude 3 agent using AWS Bedrock, exposing it via API Gateway and Lambda, and integrating it with a Pinecone knowledge base to leverage knowledge augmentation with RAG. <\/p>\n\n\n\n

Furthermore, the system will leverage AWS Lambda through Bedrock agents to retrieve user information directly from a relational database and display it in the chat. <\/p>\n\n\n\n

 We’ll be focusing on a real-world example: a fictional customer service agent that can handle queries about electrical connections in Rome, Italy. <\/p>\n\n\n\n

This guide is designed for readers with a basic understanding of AWS services and some programming experience. By the end of this tutorial, you’ll have a functional AI agent that can assist customers with services, retrieve invoice information, and even send emails with attachments. <\/p>\n\n\n\n

Understanding the Components <\/h3>\n\n\n\n

Before we dive into the implementation, let’s briefly discuss the key technologies we’ll be using: <\/p>\n\n\n\n

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  1. AWS Bedrock and Claude 3:<\/strong> AWS Bedrock is a fully managed service that provides easy access to foundation models (FMs) from leading AI companies. Claude 3, developed by Anthropic, is one of the advanced language models available through Bedrock. It excels in natural language understanding and generation, making it ideal for creating conversational AI agents. 
    Amazon Bedrock Knowledge Bases allow you to connect your AI agents to existing data repositories, enabling them to access and utilize relevant information to enhance their responses.

    Here are some key points about Knowledge Bases and Agents in Amazon Bedrock:<\/li>\n<\/ol>\n\n\n\n