Wikipedia Semantic Search is an experimental project showcasing the scalability of Upstash Vector when handling large datasets. The project vectorized 23 million Wikipedia articles in 11 languages and stored 14.4 million vectors in a single Upstash Vector index. This enables users to explore Wikipedia's content through semantic search rather than traditional keyword searches.