Discover how leading tech companies use Vespa

Perplexity’s approach of direct, sourced answers relies on a scalable Retrieval-Augmented Generation (RAG) architecture that retrieves and processes vast amounts of information from the web, internal databases, and users’ personal files. Built on Vespa, it delivers accurate, near-real-time responses to more than 15 million monthly users and handles over 100 million queries each week.

RavenPack, a global leader in financial data analytics, uses the Vespa AI Search Platform to power billion-scale vector search in its Bigdata.com service. By combining RavenPack’s proprietary Retrieval-Augmented Generation (RAG) technology with Vespa’s search capabilities, Bigdata.com delivers fast, accurate access to billions of financial documents to support advanced research and decision-making at scale.

“We are excited to share our story as we have found Vespa to be a great solution combining the now trendy vector search with more traditional sparse search techniques, as well as offering a great engineering experience.”

“As a reliable and scalable solution, Vespa has been instrumental in enabling Search at Spotify. We look forward to continuing our work with the Vespa team, and enabling innovation that will enhance the experience for Spotify listeners.“