Natural Language Search in Insurance Claim Documents with Amazon Bedrock

Amazon Web Services has shared a technical guide that enables natural language querying of insurance claim documents using artificial intelligence-based systems.

Scattered Data in Insurance Documents

Claim responses are often scattered across adjuster logs, repair estimates, police reports, payment ledgers, and scanned attachments rather than in searchable database fields.

AI-Based Solution Architecture

To solve this problem, Amazon Web Services offers a technical guide detailing how to build a chat-based claims assistant using Amazon Bedrock Knowledge Bases.

RAG and Data Indexing Processes

The solution uses the Retrieval-Augmented Generation method via Knowledge Bases to parse, chunk, embed, and index synthetic claim documents stored on Amazon Simple Storage Service.

Natural Language and Traceable Responses

Using a managed foundation model and the AgenticRetrieveStream API, the system can break down multi-party natural language queries into sub-queries and provide referenced responses.