4 posts
Using LLMs to amplify human labeling and improve Dash search relevance When someone uses Dropbox Dash to search or ask a question, it follows a retrieval-augmented generation (RAG) pattern. This means our AI first retrieves relevant company information and then uses that informa…
Engineering VP Josh Clemm on how we use knowledge graphs, MCP, and DSPy in Dash I was recently a guest speaker in Jason Liu’s online course on RAG offered by the education platform Maven. I did some mini deep-dives into what we’ve been doing at Dropbox with knowledge graphs; how…
How Dash uses context engineering for smarter AI When we first built Dash, it looked like most enterprise search systems: a traditional RAG pipeline that combined semantic and keyword search across indexed documents. It worked well for retrieving information and generating conci…
A practical blueprint for evaluating conversational AI at scale LLM applications present a deceptively simple interface: a single text box. But behind that minimalism runs a chain of probabilistic stages, including intent classification, document retrieval, ranking, prompt const…