LangChain and Amazon Bedrock Knowledge Bases: Agentic Retrieval Beats Single-Shot RAG on Multi-Part Questions

It is a pattern where an agent analyzes a question, breaks it into steps, and performs multiple retrieval calls against a knowledge base instead of a single query, improving accuracy on compound questions.

Traditional RAG runs one retrieval then generates an answer, while the agentic pattern plans, calls retrieval tools multiple times, and evaluates results. It is better for multi-part questions but costs more and adds latency.

Teams with complex questions over internal documents can pilot the agentic pattern in a test environment and compare cost and accuracy before scaling, especially with Bedrock available in multiple regions.

Yes. The article describes running the same query through both paths, reading trace events, and comparing what each path consumes.