HOW NETFLIX IS USING MULTIMODAL AI TO POWER VIDEO SEARCH

Summary from the TLDR Dev newsletter

Netflix lets editors search thousands of hours of raw footage by running multiple specialized AI models: character recognition, scene classification, dialogue, and object detection. A decoupled three-stage pipeline handles it: raw annotations land in Cassandra untransformed, an offline job uses temporal bucketing to merge all model outputs into aligned one-second intervals, and those fused buckets get indexed in Elasticsearch as nested documents.