Agentic retrieval with LangChain and Amazon Bedrock Knowledge Bases
TL;DR
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.
Nauti's Take
The useful test is to run your own multi-part questions through both single-shot and agentic retrieval, then inspect the traces and measure cost, latency, and source quality. Adopt the extra orchestration only when those additional steps consistently produce better evidence in workflows that matter to your team.
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