encode_document

This release introduces Multi-Vector Embedding models (ColBERT-style) as a new model type, enhancing retrieval capabilities. It also modernizes dependencies, fixes silent scoring bugs, and improves performance.

Sentence-Transformers 5.0.0 adds SparseEncoder support, new encode_query/document methods, multiprocessing encoding, a Router module, custom learning rates, and composite loss logging, while remaining backwards compatible.