Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore | Amazon Web Services
You’re a director of contracting, responsible for hundreds, maybe thousands, of vendor contracts. Each one is packed with critical data: contract values, expiration dates, signing status, and key contacts. With that information locked inside PDFs, you and your team spend hours manually extracting it, maintaining spreadsheets, and fielding the same recurring questions: “Which vendor are we spending the most with?” or “Which contracts are about to expire?”
So you turn to AI chat tools and enterprise Q&A solutions. You upload a contract, ask questions in natural language, and for a single document, or even a handful, it genuinely works well. The real challenge shows up at scale, across hundreds of contracts.
Most of these tools rely on a technique called Retrieval Augmented Generation (RAG). RAG breaks long text into chunks and indexes each one individually. During a search, RAG retrieves only the top-k chunks of text most relevant to a...
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