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[](https://buildkite.com/vespaai/vespa-engine-vespa)
Search, make inferences in and organize vectors, tensors, text and structured data, at serving time and any scale.
This repository contains all the code required to build and run all of Vespa yourself, and where you can see all development as it happens. All the content in this repository is licensed under the Apache 2.0 license.
A new release of Vespa is made from this repository's master branch every morning CET Monday through Thursday.
- Home page: https://vespa.ai
- Documentation: https://docs.vespa.ai
- Continuous build: https://factory.vespa.ai
- Run applications in the cloud for free: vespa.ai/free-trial
Table of contents
Background
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.
Install
Deploy your Vespa applications to the cloud service: console.vespa-cloud.com, or run your own Vespa instance: https://docs.vespa.ai/en/getting-started.html
Usage
- The application created in the getting started guides linked above 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
- Join the Vespa Slack community to ask questions and share feedback
Full documentation is at https://docs.vespa.ai.
Contribute
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
Building
Don't lose this
Three weeks from now, you'll want Vespa again. Will you remember where to find it?
Save it to your library and the next time you need Vespa, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. AI + Data, online. https://vespa.ai. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Your data stays between you and your AI — nothing is shared with us or anyone else.
Read more:
What's New
Imported from GitHub
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