Programmatically creating an IDP solution with Amazon Bedrock Data Automation

Intelligent Document Processing (IDP) transforms how organizations handle unstructured document data, enabling automatic extraction of valuable information from invoices, contracts, and reports. Today, we explore how to programmatically create an IDP solution that uses Strands SDK, Amazon Bedrock AgentCore, Amazon Bedrock Knowledge Base, and Bedrock Data Automation (BDA). This solution is provided through a Jupyter notebook that enables users to upload multi-modal business documents and extract insights using BDA as a parser to retrieve relevant chunks and augment a prompt to a foundational model (FM). In this use case, our solution performs retrieval of relevant context for public school districts from a Nation’s Report Card from the U.S Department of Education.

Amazon Bedrock Data Automation can be used as a standalone feature or as a parser when setting up a knowledge base for Retrieval-Augmented Generation (RAG) workflows. BDA can be used to generate valuable insights from unstructured, multi-modal ...