New featureMedium

Announcing Web Search on Amazon Bedrock AgentCore for Agentic Web Retrieval

Amazon Bedrock AgentCore now offers Web Search, allowing developers to build agents with up-to-date web knowledge without integrating external services

Web Search is now generally available on Amazon Bedrock AgentCore. This feature eliminates the need for developers to integrate external search providers, manage authentication, and handle security and compliance across multiple services when adding web search to agents. Built on Amazon’s proven search infrastructure, it combines a web index with structured knowledge graph data to deliver high-precision responses. Using the Model Context Protocol, it returns ranked results with relevant snippets, source URLs, titles, and publication dates. Currently available in the US East (N. Virginia) region.

Read the original AWS announcement

Related articles and terms

Amazon KendraAn intelligent enterprise search service powered by machine learningData Search and Analytics in Practice - Building Full-Text Search and Visualization with OpenSearchLearn about data search and analytics design with Amazon OpenSearch Service, including how to build an analytics foundation with full-text search, log analysis, and dashboard visualization.Intelligent Search - Cross-Searching Internal Knowledge with Amazon KendraLearn how to build enterprise search with Amazon Kendra. Covers natural language queries, data source connectors, RAG (Retrieval-Augmented Generation) integration, and when to choose Kendra vs. OpenSearch.Practical Guide to Amazon OpenSearch Serverless - OCU Design and Optimization Strategies by Collection TypeAmazon OpenSearch Serverless is a fully managed service that handles search and analytics workloads with auto-scaling while eliminating cluster management. This article explains the OCU billing model, collection type selection criteria, and index design best practices from a practical perspective.Building Enterprise Search with Amazon Kendra - Natural Language Queries and FAQ Auto-ExtractionBuild an enterprise search platform that lets you search internal documents using natural language. This article covers data source connector configuration, search accuracy tuning, and RAG integration.