Investigate the sent2vec paper and the existing C++ implementation. Explore how to integrate it into Gensim's existing word embedding classes (e.g., Word2Vec, Doc2Vec). Look at the issue comments for any suggested approaches or challenges. Consider starting with a wrapper around the original implementation, then aim for a native Python implementation using NumPy for performance.