Twelve Labs
Zilliz Cloud and Twelve Labs enable advanced semantic video search and analysis.
Use this integration for FreeAbout Twelve Labs
Twelve Labs provides state-of-the-art video foundation models that can index and make petabytes of video content semantically searchable using everyday language. Their technology allows for precise, context-aware searches across speech, text, audio, and visuals, enabling users to find exact moments in vast video libraries.
Twelve Labs aims to create an infrastructure for multimodal video understanding. Their models map natural language to video content, including actions, objects, and background sounds. This enables developers to build applications for semantic video search, scene classification, topic extraction, automatic summarization, and more.
Why Zilliz Cloud and Twelve Labs
Integrating Zilliz Cloud with Twelve Labs creates a powerful solution for advanced video search and analysis. Zilliz Cloud provides a scalable vector database for efficient similarity search, while Twelve Labs offers cutting-edge video AI models. This combination enables developers to build applications that can process, index, and search video content with high precision and speed.
The integration supports various use cases, such as content moderation, media analytics, automatic highlight generation, and ad insertion. It allows businesses to unlock the wealth of data stored in their video content, making it searchable and analyzable across multiple modalities.
How Zilliz Cloud and Twelve Labs works
The integration of Zilliz Cloud and Twelve Labs allows developers to use Twelve Labs' video AI models to process and extract features from video content. These features are then stored as vectors in Zilliz Cloud's database. Zilliz Cloud's efficient vector search capabilities enable fast and accurate retrieval of relevant video moments based on text or image queries.
This combination supports multimodal search, allowing users to find specific scenes or content within videos using natural language or image inputs. The system can understand and search across speech, text, audio, and visual elements within the video, providing a comprehensive video analysis and retrieval solution.
Learn
The best way to start is with a hands-on tutorial. This tutorial will walk you through how to build Embedding Models with Twelve Labs & Zilliz Cloud.
And here are a few more resources:
Advanced Video Search: Leveraging Twelve Labs and Milvus for Semantic Retrieval (Blog) Advanced Video Search - Leveraging Twelve Labs and Milvus for Semantic Retrieval (Video)