Vespa
Description
Vespa is an AI-powered search engine and vector database that offers unbeatable performance, scalability, and high availability. Download or use Vespa's cloud service for free to build applications using search, recommendations, personalization, conversational AI, and more. Automating scaling and high availability, Vespa is trusted by leading companies like Spotify and Yahoo for real-time, personalized content targeting and ad serving. Experience the power of AI with Vespa today.
About Vespa
Vespa is a powerful AI-driven search engine and vector database that empowers businesses to analyze and harness the power of AI for their big data needs online. Offering exceptional performance, scalability, and high availability, Vespa is suitable for search applications of any size. Developed as an open-source software, you can download Vespa or utilize its cloud service absolutely free.
With Vespa, developers can conveniently store vectors, metadata, and content within the same item on the same node. Running inference and effortlessly scaling across nodes to handle massive amounts of data and traffic is a breeze. Vespa caters to a wide range of use cases, including search functionality, recommendations, personalization, conversational AI, and semi-structured navigation.
Featuring comprehensive search capabilities, Vespa supports vector search, lexical search, and search within structured data. Real-time machine-learned model inference allows you to gain meaningful insights from your data. Building applications with Vespa is a simplified process, enabling developers to focus on their application development while Vespa takes care of scaling and ensuring high availability.
Vespa has been adopted by industry-leading companies such as Spotify, Yahoo, and OkCupid. It facilitates real-time content personalization and targeted ad placements, serving nearly a billion users at an impressive rate of 600,000 queries per second. Designed to efficiently support machine-learning model inference, Vespa seamlessly supports a wide range of models from various tools. It autonomously manages data distribution across nodes and effortlessly redistributes data in the background when changes occur, delivering unmatched end-to-end performance.