Clip-as-service is a deployable framework for generating multi-modal embeddings and executing neural searches. It provides a vector embedding server and a CLIP embedding API to convert images and text into shared vector representations via network interfaces.
The system functions as a multi-modal ranking system and neural search engine, enabling the retrieval of images through text queries or the identification of matching text descriptions for images. It also includes a visual reasoning service used to analyze images and verify object presence, counts, and colors by comparing visual data against descriptive text.
The project covers broad capability areas including multi-modal embedding generation, cross-modal search, and image-text match ranking to determine semantic similarity between visual elements and textual descriptions.
