What Experts Say About Vespa
Analysts and users alike recognize Vespa’s capabilities in real-time AI search, recommendation, and personalization. Explore their perspectives on Vespa’s role in powering production-scale systems for generative AI.
Independent Analysts and users alike identify Vespa as a platform built for the demands of modern AI. Known for its low-latency performance, flexible data modeling across text, vectors, tensors, structured data, and consistently excellent support, Vespa powers production-grade search, recommendation, and generative AI (RAG). Explore these perspectives and full reports below.
“For organizations building modern search, recommendation, or RAG-enabled systems where real-time AI performance is paramount, Vespa warrants serious consideration and should be on the evaluation short list.”
Whit Walters, Field CTO,
GigaOm
“Vespa has developed solutions designed to deliver on the enormous potential generative AI has in orderto power retailers to greater engagement and, ultimately, more revenue.”
Mark Beccue, Principal Analyst,
Enterprise Stratgy Group.
“Vespa’s low-latency engine can handle hundreds of thousands of requests per second and is designed for online use cases that involve AI and data. It’s a comprehensive offering in which users define and index data with fields composed of vectors, tensors, unstructured text, and structured data to query across them seamlessly.”
Andrew Brust, Analyst,
GigaOm.
Vespa is a Leader and Fast Mover in the GigaOm Sonar for Vector Databases.
Vespa is a platform engineered for real-time search and inference at scale. Unlike general-purpose engines, Vespa natively supports the needs of AI-powered applications—from semantic retrieval to complex ranking and dynamic decisioning.
By building on Vespa’s platform, Perplexity delivers accurate, near-real-time responses to more than 15 million monthly users and handles more than 100 million queries each week.
“RavenPack has trusted Vespa.ai open source for over five years–no other RAG platform performs at the scale we need to support our users. Following rapid business expansion, we transitioned to Vespa Cloud. This simplifies our infrastructure and gives us access to expert guidance from Vespa engineers on billion-scale vector deployment.”
