
ScyllaDB Vector Search is an integrated vector similarity search feature built directly into ScyllaDB, enabling billion-scale approximate nearest-neighbor (ANN) search over high-dimensional embeddings with millisecond P99 latency — eliminating the need for a separate standalone vector database.