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Learn to construct a comprehensive multimodal search system using Qdrant's Cloud Inference API in this 57-minute webinar. Discover how to seamlessly embed, store, and search multimodal data through a single unified interface, eliminating the complexity of managing separate embedding and storage services. Explore practical implementation techniques for building search applications that can handle text, images, and other data types simultaneously. Follow along with hands-on demonstrations using the provided GitHub repository and interactive Hugging Face Space to understand how cloud-based inference simplifies the development of sophisticated search solutions. Master the integration of embedding generation, vector storage, and similarity search operations within one streamlined workflow, making multimodal search accessible for developers at any level.
