Query claims in natural language with Amazon Bedrock Knowledge Bases
This technical how-to builds a conversational claims assistant on Amazon Bedrock Knowledge Bases that answers natural-language questions with citations. It covers ingesting claim documents from Amazon S3, querying with the AgenticRetrieveStream API, multi-turn follow-ups, metadata filters, and contextual grounding guardrails.
Amazon Bedrock Knowledge Bases enables the creation of a conversational claims assistant that can answer natural language questions from claim documents and return cited responses. The assistant ingests claim documents and their metadata from Amazon S3, parses, chunks, and indexes them in a fully managed RAG (Retrieval Augmented Generation) capability.
It then uses AgenticRetrieveStream to plan an answer, break multi-part questions into sub-queries, and retrieve evidence. The assistant checks the evidence sufficiency before generating a response and streams trace events, answer text, and citations to display the output as it arrives.
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