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Amazon Bedrock adds single-shot retrieval and passage-only modes to AgenticRetrieveStream

AIINEWS Editorial Board•ai-machine-learning
09 November, 2026•1 min read

Executive Briefing

Synthesized and verified with gemini-aistudio-api-key/models/gemini-3.5-flash-lite / reviewer requested: gemini/gemini-3.5-flash-lite

“Amazon Bedrock expanded its AgenticRetrieveStream API with new iteration settings, allowing...”

Key Takeaways

  • 1.Amazon Bedrock expanded the maxAgentIteration parameter range to 0 through 5 for Managed Knowledge Base.
  • 2.Setting maxAgentIteration to 1 executes a single retrieval followed by one answer generation without planning rounds.
  • 3.Setting maxAgentIteration to 0 returns source passages without invoking a foundation model.
  • 4.Values from 2 to 5 retain the existing agentic behavior allowing multiple planning rounds and query decomposition.

Amazon Bedrock expanded its AgenticRetrieveStream API with new iteration settings, allowing applications to toggle between single-shot retrieval, agentic multi-round searches, and passage-only requests using a single endpoint.

Key Developments and Technical Context

Amazon Bedrock expanded the maxAgentIteration parameter range to 0 through 5 for Managed Knowledge Base.

Setting maxAgentIteration to 1 executes a single retrieval followed by one answer generation without planning rounds.

Setting maxAgentIteration to 0 returns source passages without invoking a foundation model.

Values from 2 to 5 retain the existing agentic behavior allowing multiple planning rounds and query decomposition.

Strategic Analysis and Industry Implications

Expanding retrieval modes helps developers optimize latency and cost by bypassing unnecessary planning loops for straightforward queries.

Maintaining a single API endpoint for all three modes significantly reduces application architecture complexity when toggling between fast lookups and deep comparisons.

Outlook and Key Factors to Watch

The source relies on a fictional banking scenario and does not publish large-scale production performance metrics.

Content and editorial synthesis copyright by AIINEWS Editorial Board
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