Agentic retrieval for Amazon Bedrock Managed Knowledge Base
Quick Answer
Amazon Bedrock introduces Agentic retrieval for Managed Knowledge Bases, enhancing multi-part question handling by automating query decomposition and iterative retrieval, thus improving context and relevance in responses.
Quick Take
This API addresses limitations of classic single-shot retrieval, offering a structured approach to complex queries.
Key Points
- Agentic retrieval automates multi-part question handling in Amazon Bedrock Managed Knowledge Bases.
- It iteratively retrieves and assesses evidence, improving response accuracy and relevance.
- Classic single-shot retrieval often fails to provide context for complex queries.
- The AgenticRetrieveStream API allows for detailed trace events during retrieval.
- Custom agent frameworks previously addressed these gaps but added latency and complexity.
Source Excerpt
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.
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from AWS Machine Learning
See more →
AI Teammates: how monday.com runs production AI agents on Amazon Bedrock
monday.com leverages Amazon Bedrock to run AI agents at scale, achieving over 50% increase in per-engineer PR throughput. Their architecture integrates multiple AWS services, enabling seamless collaboration between human engineers and AI teammates across a decade-old code base.
