towhee-io/examples

Towhee generates dense embedding vectors through composable ML operator pipelines, democratizing `x2vec` tasks across modalities including images, video, audio, and molecular data. It integrates pre-built operators from the Towhee Hub (CLIP, DPR, RDKit, etc.) with vector databases for similarity search and supports cross-modal retrieval tasks like text-to-image and text-to-video matching. The framework enables end-to-end applications from embedding generation through approximate nearest neighbor indexing with minimal code.

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