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Bringing agentic Retrieval Augmented Generation to Amazon Q Business

Machine Learning Blog



Amazon Q Business introduces Agentic Retrieval Augmented Generation (RAG), a sophisticated approach to enterprise AI interactions that significantly enhances how generative AI systems process complex queries.

  • Enables advanced query decomposition and multi-step information retrieval
  • Provides transparent, real-time visibility into system processing steps
  • Uses intelligent tools like tabular search and long context retrieval
  • Supports multi-turn conversational capabilities with context retention
  • Dynamically optimizes responses by continuously evaluating information completeness

Agentic RAG represents a significant advancement in enterprise AI, allowing more nuanced, comprehensive interactions with organizational data while maintaining security and permissions.



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