Vespa

Open-source big data serving engine for real-time search, recommendation, and AI applications

Trondheim, Norway Founded 2017 Nov-50 employees Open Source

About Vespa

Vespa is an open source and managed AI search platform for building applications that need fast retrieval, ranking, and computation over large datasets. It combines text search, vector search, structured data filtering, and machine learning inference in a single engine, allowing developers to build systems that serve relevant results in real time. The platform supports hybrid search that combines lexical matching with vector similarity, along with custom ranking, recommendations, personalization, and retrieval augmented generation. Vespa applications can process continuously updated data and run model inference as part of the search and serving workflow, making it useful for large-scale AI products. For engineering teams looking for an AI search engine, vector database, hybrid search platform, and scalable RAG infrastructure, Vespa provides tools for building production retrieval systems. Its combination of search, ranking, and machine learning capabilities helps developers create personalized discovery and generative AI applications over their own data.