5 articles
Dropbox engineering shares how they used DSPy to optimize their LLM-based relevance judge for Dash, achieving significant cost and quality improvements.
This post explains how Dropbox Dash trains its search ranking model by combining small-scale human labeling with LLM-generated relevance judgments to produce training data at scale.
Josh Clemm, VP of Engineering at Dropbox, explains how Dash uses knowledge graphs, MCP, and DSPy to build a universal work search and AI assistant.
This article introduces BriX, a platform that transforms AI prototypes into enterprise-grade production tools without requiring deep DevOps expertise.
Dropbox Dash built a custom hybrid feature store to power real-time AI ranking across tens of thousands of work documents.
Grab