Let’s say a large financial services company has millions of documents containing complex financial data, and it wants to do RAG (retrieval augmented generation) against these files to improve the quality of the responses to natural-language queries. If an off-the-shelf product isn’t up to the task, or is unsuitable for compliance reasons, the company would have to build its own system by installing and stitching multiple different components. That’s a time-consuming endeavor that Cake can take care of.
Elsewhere, a hospital might need to construct a secure system for analyzing images from CT scans, or an e-commerce company might want to upgrade its recommendation engine. These are all potential use-cases for Cake.