aws-solutions-library-samples

Guidance For Generative AI Shopping Assistant Using Agents For Amazon Bedrock — AI skill for Claude Code

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This Guidance demonstrates how to create a compelling, AI-driven shopping experience using Amazon Bedrock Agents.

How to install Guidance For Generative AI Shopping Assistant Using Agents For Amazon Bedrock

This entry records only its repository, not the path inside it, so there is no exact command to give. Open aws-solutions-library-samples/guidance-for-generative-ai-shopping-assistant-using-agents-for-amazon-bedrock and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Guidance For Generative AI Shopping Assistant Using Agents For Amazon Bedrock does

This Guidance demonstrates how to create a compelling, AI-driven shopping experience using Amazon Bedrock Agents.

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README

Guidance for Generative AI Shopping Assistant using Agents for Amazon Bedrock

Overview
Prerequisites
- Operating System
- Amazon Bedrock Model Access
Deployment Steps
Deployment Validation
Running the Guidance
Testing app locally on your machine
Next Steps
Cleanup
FAQ, known issues, additional considerations, and limitations
Notices
Authors

Overview

This Guidance demonstrates how to create powerful, generative AI-driven shopping assistant that enhances customer experience and drives sales through context-aware, AI-powered interactions. The solution offers features like personalized and related product recommendations, dynamic contextual product comparisons, seamless cart management, and automated order & email confirmation. It seamlessly integrates with your existing company systems and data securely and minimizes the time and complexity needed for building sophisticated LLM (Large Language Model) Agents.

Solution Overview

This Guidance deploys a Streamlit Python web application on Amazon ECS Fargate, which calls the [Amazon Bedrock Agent API](https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html) for natural language conversations. The Shopping Agent is built using [Agents for Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/agents.html) which utilizes Anthropic's Claude 3 Sonnet model to interpret user queries. The agent orchestrates multi-step tasks for finding relevant products using [Knowledges Bases for Amazon Bedrock](https://docs.aws.amaz