Oversized Document Retrieval

Let’s say you work as a machine learning engineer at Intel, focusing on AI-powered document analysis for enterprise clients. You are tasked with building a system that retrieves and summarizes relevant information from technical documents, some of which exceed the context window of your deployed language model.

How would you design an end-to-end retrieval system to efficiently extract and summarize information from these oversized documents?