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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