Scaling RAG to Millions of Vectors: The Squiz Story

Squiz, a global Digital Experience Platform provider, is transforming how organizations deliver conversational search experiences. By adopting Amazon S3 Vectors, Squiz reimagined its ingestion pipeline — increasing data processing speed by 50% and shifting from bespoke, always-on infrastructure to a scalable serverless model. This allows Squiz to seamlessly scale from 25,000 to millions of vectors per client, while significantly reducing costs. Hear how this shift freed engineering teams to focus on RAG innovation rather than infrastructure management, and how it powers smart video search capabilities across their platform.