Vespa is an AI Search Platform for developing and operating large-scale applications that combine big data, vector search, machine-learned ranking, and real-time inference. With native tensor support for complex ranking and decisioning, Vespa enables real-time AI applications like RAG, recommendation, and intelligent search—at enterprise scale.
Use cases such as search, recommendation and personalization need to select a subset of data in a large corpus, evaluate machine-learned models over the selected data, organize and aggregate it and return it, typically in less than 100 milliseconds, all while the data corpus is continuously changing.
This is hard to do, especially with large data sets that need to be distributed over multiple nodes and evaluated in parallel. Vespa is a platform that performs these operations for you with high availability and performance. It has been in development for many years and is used on several large internet services and apps which serve hundreds of thousands of queries from Vespa per second.
This is free and open source software.
Website: github.com/vespa-engine/vespa
Support:
Developer: Vespa
License: Apache License 2.0
Vespa is written in Java and C++. Learn Java with our recommended free books and free tutorials. Learn C++ with our recommended free books and free tutorials.
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