May 20, 2026
Ring's pgvector case shows how video archive search can balance scale, latency, and cost to create more valuable evidence services.
Executive Read
AWS explained how Ring implemented semantic video search across billions of embeddings, with user isolation and relevant results in under two seconds. For an ISP, the core lesson is commercial: a video archive stops being a storage liability when it becomes recoverable and actionable.
Why It Matters For An ISP
Camera services are hard to differentiate when they only offer viewing or recording. Semantic search lets the operator sell investigation, evidence, and reduced review time. Architecture matters because a premium feature only scales if latency, tenant isolation, and query cost stay under control.
How It Connects With Horus@Fidumtec
Horus@Fidumtec can make that complexity sellable for the operator. With ingestion, permissions, events, and multi-tenant operations in place, the ISP can index relevant moments, isolate customer data, and expose fast searches over recordings without always moving full media outside its environment.
Use Cases
- Natural-language incident retrieval.
- Scene search by object, action, or visual description.
- Managed evidence for buildings, businesses, and municipalities.
- Fast investigation in centers with many cameras.
Sources
- AWS Database Blog. "Ring's Billion-Scale Semantic Video Search with Amazon RDS for PostgreSQL and pgvector". 2026-04-21. https://aws.amazon.com/blogs/database/rings-billion-scale-semantic-video-search-with-amazon-rds-for-postgresql-and-pgvector/