AWS Machine Learning Blog· Manideep Reddy Gillela·· 2026-10-05
Agentic retrieval with LangChain and Amazon Bedrock Knowledge Bases
Agentic retrieval with LangChain and Amazon Bedrock Knowledge Bases
AI summary
Build a Retrieval Augmented Generation (RAG) application on Amazon Bedrock Managed Knowledge Base with LangChain, and see how agentic retrieval handles the multi-part questions that single-shot retrieval answers poorly. Run the same query through both paths, read the trace events, and compare what each retrieval path costs.
Selection record
Threshold 60Official, first-handFirst 38Second 34
Not admittedSum of both 72 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：AWS博客详解Agentic RAG检索与LangChain集成
- Same event
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com