Implementing Vector Search in ScyllaDB brings challenges from low-latency to predictable performance at scale. Rather than embedding HNSW indexing directly into the core database, we decoupled vector indexing and similarity search into a dedicated Rust engine. Learn about the architectural design decisions that enabled us to combine and integrate ScyllaDB’s shard-per-core for real-time operations and high-performance ANN processing via USearch.
