This article demonstrates how to build an interactive web application enabling business users to summarize and ask questions about large PDF documents using generative AI foundation models.

• Uses langchain library to split large PDFs into manageable chunks for LLM processing
• Implements retrieval augmented generation for question answering on unseen documents
• Architecture combines React frontend, Amazon S3, Textract, Lambda, SQS, ECS Fargate, and SageMaker
• Asynchronous processing handles long-running summarization and text extraction jobs
• Uses AI21 Summarize model for documents up to 10,000 words and Cohere for text generation
• Vector database stores embeddings for semantic search and context retrieval
• Exposes advanced options like chunk size for technical users testing new documents

The solution makes powerful LLM capabilities accessible to non-technical business users through a simple interface for processing financial documents and other lengthy PDFs.