Community
Developers building RAG systems can now benchmark agentic vs. non-agentic retrieval patterns on AWS infrastructure, while procurement and architecture teams evaluating Bedrock can understand when agentic complexity is justified by performance and cost tradeoffs.
AWS published a tutorial on building agentic RAG applications using LangChain and Amazon Bedrock Knowledge Bases, demonstrating how agentic retrieval outperforms single-shot retrieval for multi-part questions. The post includes side-by-side query execution traces and cost comparisons between the two retrieval approaches.
Read the full article at AWS AI/ML
CoFabrix summarises and comments on this story. The original reporting belongs to AWS AI/ML.
Find out where your organization stands -- and what to do about it.