Vespa

Vespa is a search engine and vector database that utilizes AI technology to help organizations analyze and apply AI to their large online datasets. It offers exceptional performance, scalability, and availability for search applications of any size. Developed as an open-source software, Vespa can be downloaded or used on its cloud service for free. With Vespa, developers can easily co-locate vectors, metadata, and content on the same item and node, run inference, and scale across nodes to handle any amount of data and traffic.

Vespa has a wide range of use cases, including search, recommendations, personalization, conversational AI, and semi-structured navigation. It provides comprehensive search functionality that supports vector search, lexical search, and search in structured data. Additionally, it offers real-time machine-learned model inference to make sense of the data. Vespa simplifies the application development process, allowing developers to focus on their specific applications while it takes care of scaling and ensuring high availability.

Leading companies such as Spotify, Yahoo, and OkCupid have successfully utilized Vespa. It enables these companies to personalize content in real-time and target ads while serving nearly a billion users at a rate of 600,000 queries per second. Vespa is designed to efficiently support machine-learning model inference and is compatible with most models from various tools. It automatically manages data distribution across nodes and can redistribute data in the background when changes occur, resulting in exceptional end-to-end performance.