TwelveLabs has announced Marengo 3.0, a new multimodal embedding model designed for video retrieval. This iteration supports advanced features including composed queries, multilingual search capabilities, and the processing of long-form video content.
Marengo 3.0 expands the core retrieval layer for video applications by combining multimodal embeddings with composed queries, multilingual search, and long-form video processing. That matters for teams building search and discovery across large video libraries, where finding the right clip often depends on more than a single keyword. The key signal to watch is how TwelveLabs positions Marengo 3.0 in real deployments and what video lengths or language coverage it publicly supports.
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