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Building an Intelligent Customer Service Agent with Amazon Bedrock and a Knowledge Base

Amit Rai
5 min readNov 22, 2024

Simplify customer support with AI and a robust knowledge base

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Creating a customer service agent that delivers human-like interactions is now more accessible with Amazon Bedrock. By leveraging the available foundational models and integrating a Knowledge Base, you can develop an intelligent agent capable of understanding and responding to customer inquiries naturally. This guide will walk you through the process, ensuring a seamless setup.

Prerequisites

Before we begin, ensure you have the following:

  • AWS Account: Access to Amazon Bedrock is required.
  • AWS CLI: Installed and configured with the necessary permissions.
  • Basic Knowledge: Familiarity with AWS services like IAM, S3, and Lambda.

Step 1: Set Up the Knowledge Base

A Knowledge Base in Amazon Bedrock allows your agent to retrieve accurate information to respond to customer queries.

  1. Create an S3 Bucket: This bucket will store your Knowledge Base documents.
aws s3 mb s3://your-knowledge-base-bucket

2. Upload Documents: Place your FAQ documents or any relevant data into the S3 bucket.

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Amit Rai
Amit Rai

Written by Amit Rai

AWS Architect | AWS DevOps | Developer | Generative AI | Enthusiastic Writer | www.linkedin.com/in/amitraikkr

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