This article explores the use of bloom filters for creating a space-efficient full text search index. While they work well for small document sets, scaling them to larger corpuses reveals limitations in query performance and space efficiency compared to traditional inverted indexes. The author discusses potential solutions and why they ultimately fall short.

Dropbox Dash has evolved its multimedia search capabilities to address the unique challenges of finding and retrieving media files. By rethinking their infrastructure, they implemented a system that utilizes metadata indexing, just-in-time previews, and enhanced relevance models to provide fast and accurate search results for images, videos, and audio, similar to text documents.