Vespa is a fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real time. Together with Vespa's proven scaling and high availability, this empowers you to create production ready search applications at any scale, and with any combination of features. more

Recommendation, personalization and targeting involves evaluating recommender models over content items to select the best ones. Vespa lets you build applications which do this online, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. This makes it possible to make recommendations specifically for each user or situation, using completely up to date information. more

Large language models are revolutionary, but their usefulness for real tasks is limited by their lack of memory, trustworthiness, specific knowledge, and ability to reason in many steps. To make more useful agents we must give the models the ability to store and search vector and text data in real time, and orchestrate many such operations to carry out a task. Vespa is the ideal platform for this, as it integrates all these building blocks in scalable form. more

Applications such as e-commerce use a combination of structured data and text and need to provide structured navigation - grouping data dynamically for navigation and filtering - in combination with search and recommendation. Vespa provides all the features required for this with great performance, which makes it possible to realize functionally complete applications leveraging structured data on a unified architecture. more