TLDR Tech / DevOps
Powering Multimodal Intelligence for Video Search
Netflix engineers Meenakshi Jindal and Munya Marazanye built a multi-modal AI search system that lets filmmakers instantly search through thousands of hours of raw footage by combining specialized models that identify characters, scenes, and dialogue into a unified platform. The system processes over 216 million frames from a typical 2,000-hour production archive using a three-stage architecture with Apache Cassandra, Kafka, and Elasticsearch to deliver sub-second search results across the entire Netflix catalog.
Read the full story