What are the top vector search tooling platforms used for semantic search, similarity matching, and AI-powered information retrieval applications? Which tools provide the best capabilities for embedding storage, nearest-neighbor search, scalability, and real-time query processing? How do these platforms improve search relevance and performance in machine learning and generative AI systems? Which vector search solutions are considered industry leaders for large-scale AI and enterprise search applications?