The Future of Multimodal Learning

Multimodal learning involves combining vector spaces and queries to enhance search capabilities./nThe use of multiple models, such as clip and sentence embeddings, in Weeviate can yield interesting results./nThere is potential for creating relations between different models using Weeviate as a search engine./nThe business logic or middleware layer is where results from multiple queries are processed and utilized./nWeeviate enables mixing image search, text search, and other types of model search into one./nThe capabilities of models like clip allow users to transition from natural language queries to image search./nNew models like clip offer more possibilities for enhancing search results and user experiences.