White Paper
Trillions of vectors. Zero sharding. On one unified platform.
Standalone vector databases require sharding to handle scale. Splitting indexes across nodes, duplicating data into a separate infrastructure layer, and introducing synchronization lag makes real-time retrieval unreliable. VAST AI OS eliminates the separation entirely. Vector, structured and unstructured data live on one flash-native platform, so everything from embedding to RAG happens in one place.
What’s inside:
Why traditional vector architecture fails at enterprise scale
Why an AI-native platform matters for Enterprise AI
How real-time embedding and sub-second retrieval can coexist
