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Amazon Bedrock enhances knowledge base with agentic retrieval for complex queries

Amazon Bedrock has introduced agentic retrieval for its Managed Knowledge Base, a new feature designed to handle complex, multi-part questions that traditional retrieval methods struggle with. This advanced retrieval system plans and iterates over search queries, allowing it to address comparative reasoning, cross-source questions, and exploratory searches more effectively than single-shot retrieval. The AgenticRetrieveStream API automates the process of decomposing questions, retrieving relevant information, and synthesizing grounded responses, reducing the need for custom agent frameworks. AI

IMPACT Enhances enterprise AI applications by improving the accuracy and efficiency of information retrieval for complex user queries.

RANK_REASON This is a product update for a cloud service, not a frontier model release or significant industry event.

Read on AWS Machine Learning Blog →

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Amazon Bedrock enhances knowledge base with agentic retrieval for complex queries

COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Omar Elkharbotly ·

    Agentic retrieval for Amazon Bedrock Managed Knowledge Base

    This post focuses on why classic retrieval falls short on multi-part questions, how the AgenticRetrieveStream API works (including request construction and trace parsing), and when to choose it over the standard Retrieve API.