Learnijoy
NewsAI Engineering & DevToolsAI News & Tools

Amazon Bedrock AgentCore Adds Web Search Filters

Gaurav Deshmukh· August 19, 2026 View original

Key takeaways

  • Amazon Bedrock AgentCore now offers domain and publish date filters for web search.
  • These filters provide developers with greater control over agent information sources.
  • The feature helps improve the accuracy and relevance of AI agent responses.
  • Web Search is now available in additional European and Asian Pacific regions.

Who benefits

TechFinanceLegalMedia

Summary

Amazon Bedrock AgentCore's Web Search now includes runtime domain and published-date filtering, giving developers more control over source selection and freshness. The service also expanded to Europe (Ireland) and Asia Pacific (Tokyo) regions.

Amazon Bedrock AgentCore has enhanced its Web Search capabilities by introducing new filtering options. Developers can now specify which web domains their AI agents should consult and set criteria for how recently content must have been published. These server-side enforced filters provide granular control over the information sources used by agents. Additionally, the Web Search feature is now available in more geographical regions, specifically Europe (Ireland) and Asia Pacific (Tokyo), broadening its accessibility for global users.

Why it matters

Professionals can build more precise and reliable AI agents by controlling the quality and recency of information sources, reducing hallucinations and improving factual accuracy.

How to implement this in your domain

  1. 1Update agent configurations to include new domain and date filters for web searches.
  2. 2Test agent responses with various filter settings to optimize information retrieval.
  3. 3Leverage regional expansion to deploy agents closer to target user bases in Europe and Asia.
  4. 4Integrate these filters into agent development workflows for enhanced data governance.

Original post by Gaurav Deshmukh

"Web Search on Amazon Bedrock AgentCore now supports runtime domain and published-date filtering. New per-request filters give developers per-call control over which web sources their agents consult and how fresh those sources must be, all enforced server-side. This release also e…"

View on X

Originally posted by Gaurav Deshmukh on X · view source

Want to go deeper?

Turn these trends into skills with Learnijoy's hands-on AI & tech courses.

Explore courses

More in AI Engineering & DevTools

AI Engineering & DevTools

Zapier vs. Tray: Enterprise Automation Platform Comparison for 2026

This post compares Zapier and Tray.io, evaluating which platform is better suited for enterprise automation needs by balancing power and ease of use. It argues that the best tools scale for complex requirements while remaining intuitive for all users.

Ryan KaneJul 28, 2027
AI Engineering & DevToolsAI News & Tools

AWS Automates Document Processing for Mortgage Lender

AWS showcases how a mid-size mortgage lender automated its entire document intake pipeline, from email to validated data, using the AWS GAIIC IDP Accelerator and Amazon Quick Automate. This solution addresses challenges in classifying, extracting, and validating high volumes of documents across various sectors.

Gayatri OhriAug 19, 2026
AI Engineering & DevTools

Serverless Patterns for Asynchronous Bedrock AgentCore Calls

This post details three serverless patterns—task-token callback, direct service integration, and durable functions—for asynchronously invoking Amazon Bedrock AgentCore agents from AWS Step Functions pipelines. These methods help eliminate idle compute costs during AI agent processing.

Daniel AbibAug 19, 2026