Building AI shopping agent using Amazon Bedrock AgentCore Runtime and Amazon OpenSearch Service

This article demonstrates building an AI-powered shopping agent using Amazon Bedrock AgentCore Runtime, Amazon OpenSearch Service, and Strands Agents framework.

• Combines semantic search with AI agents for natural language shopping queries
• Uses Amazon Nova Multimodal Embeddings for vector search capabilities
• Deploys Strands Agents on Bedrock AgentCore Runtime without infrastructure management
• Implements OpenSearch ML connectors to link with Bedrock embedding models
• Provides step-by-step setup including IAM permissions, ingest pipelines, and agent deployment
• Supports complex queries like "Find formal dress under $200 for summer wedding"
• Includes sample product data indexing and neural search testing
• AgentCore CLI automates Docker containerization and ECR deployment
• Enables conversation history and personalized recommendations at scale

The solution integrates OpenSearch semantic search with AI agents to create conversational shopping experiences, with optional enhancements using AgentCore Memory, Identity, and Observability features.