AWS ML Blog
Query claims in natural language with Amazon Bedrock Knowledge Bases
✦TL;DR
The article demonstrates how to build a conversational claims assistant using Amazon Bedrock Knowledge Bases, leveraging the AgenticRetrieveStream API to answer natural‑language queries with citations. It walks through ingesting claim documents from Amazon S3, indexing them into a Bedrock KB, and then querying with multi‑turn support, metadata filters, and streamed responses. The approach shows how to combine Bedrock’s retrieval‑augmented generation with agentic streaming for a fully interactive, citation‑aware assistant. The key tradeoff highlighted is the need to pre‑index documents into Bedrock, which adds an ingestion step but yields low‑latency, citation‑rich answers.
⚡ Key Takeaways
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