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此仓库是为了提升国内下载速度的镜像仓库,每日同步一次。 原始仓库: https://github.com/vespa-engine/vespa
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The open big data serving engine - Store, search, organize and make machine-learned inferences over big data at serving time.

This is the primary repository for Vespa where all development is happening. New production releases from this repository's master branch are made each weekday from Monday through Thursday.

Vespa build status: Vespa Build Status

Table of contents


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 needs to be distributed over multiple nodes and evaluated in parallel. Vespa is a platform which performs these operations for you with high availability and performance. It has been in development for many years and is used on a number of large internet services and apps which serve hundreds of thousands of queries from Vespa per second.


Run your own Vespa instance: https://docs.vespa.ai/en/getting-started.html
Or deploy your Vespa applications to the cloud service: https://cloud.vespa.ai


  • The application created in the getting started guide is fully functional and production ready, but you may want to add more nodes for redundancy.
  • See developing applications on adding your own Java components to your Vespa application.
  • Vespa APIs is useful to understand how to interface with Vespa
  • Explore the sample applications
  • Follow the Vespa Blog for feature updates / use cases

Full documentation is at https://docs.vespa.ai.


We welcome contributions! See CONTRIBUTING.md to learn how to contribute.

If you want to contribute to the documentation, see https://github.com/vespa-engine/documentation


You do not need to build Vespa to use it, but if you want to contribute you need to be able to build the code. This section explains how to build and test Vespa. To understand where to make changes, see Code-map.md. Some suggested improvements with pointers to code are in TODO.md.

Development environment

C++ and Java building is supported on CentOS 7. The Java source can also be built on any platform having Java 11 and Maven installed. Use the following guide to set up a complete development environment using Docker for building Vespa, running unit tests and running system tests: Vespa development on CentOS 7.

Build Java modules

export MAVEN_OPTS="-Xms128m -Xmx1024m"
./bootstrap.sh java
mvn install --threads 1C

Use this if you only need to build the Java modules, otherwise follow the complete development guide above.

Build RPM packages

See Building Vespa RPM for details.


Code licensed under the Apache 2.0 license. See LICENSE for terms.

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Vespa 是雅虎开源的针对大数据集的低延迟计算引擎 expand collapse


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