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English(EN) Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK

AWS Bedrock 通过代理检索功能增强 RAG

作者 PulseAugur 编辑部 · [1 个来源] ·

AWS 为其 Amazon Bedrock 知识库推出了一项新的代理检索功能，增强了检索增强生成 (RAG) 系统。此新功能允许推理代理动态决定何时何地检索信息，从而实现多轮规划和工具驱动的检索，以获得更全面和有引用的答案。该更新通过管理摄取、存储和索引来简化流程，并提供内置的可观察性工具，如 CloudWatch 仪表板，以更好地理解系统。 AI

影响 通过实现更复杂的、多轮的信息检索和基于事实的答案，增强了企业的 RAG 系统。

排序理由 这是云服务的相关产品更新，而不是新的前沿模型发布或核心研究。

在 AWS Machine Learning Blog 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AWS Bedrock 通过代理检索功能增强 RAG

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这是云服务的相关产品更新，而不是新的前沿模型发布或核心研究。
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报道来源 [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Prabhakar Chandrasekaran ·

    Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK

    Build enterprise agentic retrieval on a Managed Amazon Bedrock Knowledge Base with the AWS CDK: an agent that routes across two knowledge bases, retrieves through the AgentCore Gateway, and returns grounded, cited answers, with seven layers of observability and both on-demand and…

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