Bringing AI-powered answers and summaries to file previews on the web

This post details the integration of AI-powered summarization and Q&A features into Dropbox's web file preview experience. It describes how the existing Riviera file conversion framework was extended to handle AI embeddings. The summarization plugin uses k-means clustering on text embeddings to identify key concepts and generate summaries, improving topic diversity and reducing LLM hallucinations compared to map-reduce approaches. The Q&A plugin uses embedding similarity to find relevant text chunks for answering user questions.