Third-party cyber evaluations involving OpenAI models
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Cloud & Infrastructure
AWS Blog·Jun 17·5 min read
AWS Blog·Jun 17·5 min readAnnouncing Web Search on Amazon Bedrock AgentCore: Ground your AI agents in current, accurate web knowledge
TL;DR
AI agents often lack access to up-to-date information, limiting their effectiveness. Amazon Bedrock AgentCore now includes a Web Search feature that allows agents to retrieve current web knowledge.
✦ Why It Matters
Engineers can now build AI agents that access real-time web data securely, improving response accuracy.
Key Takeaways
- Integrate Web Search into your AI agents easily.
- Utilize real-time web data for accurate responses.
- Ensure compliance with enterprise data governance.
- Focus on agent development without infrastructure concerns.
Full Summary
AI agents traditionally rely on pre-existing training data, which can become outdated. To address this, Amazon introduced Web Search on Bedrock AgentCore, a managed tool that allows agents to query the web for real-time information.
Using the Model Context Protocol (MCP), agents can send natural-language queries and receive relevant snippets, source URLs, titles, and publication dates. This feature leverages Amazon's extensive search infrastructure and combines web index data with structured knowledge from the Amazon Knowledge Graph, enhancing the accuracy of responses.
By grounding responses in current web knowledge, agents can act on the latest facts without sending data outside the secure AWS environment. This development simplifies the process for developers, allowing them to focus on building agents rather than managing web search infrastructure.
Overall, it enhances the capabilities of AI agents in providing timely and relevant information.