Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore
RAG fails at portfolio-scale aggregation; structured extraction into a database is the fix
“The answer is structured extraction, not better retrieval.”
An AWS blog post details why RAG-based AI chat tools fail for portfolio-scale document questions that require aggregation across hundreds of contracts. The proposed architecture uses AI agents to extract structured data into a database, then answers questions via analytics and natural language querying rather than semantic search. The insight—that aggregation problems require structured extraction, not better retrieval—is a broadly applicable engineering principle for enterprise document AI.