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linguistics-custom.html.md
# Custom Linguistics A linguistics component is an implementation of[com.yahoo.language.Linguistics](https://github.com/vespa-engine/vespa/blob/master/linguistics/src/main/java/com/yahoo/language/L...docs.vespa.ai/en/linguistics/linguistics-custom.html.mdThu Feb 05 12:14:32 GMT 2026 1.9K bytes -
news-3-searching.html.md
# News search and recommendation tutorial - searching This is the third part of the tutorial series for setting up a Vespa application for personalized news recommendations. The parts are: 1. [Gett...docs.vespa.ai/en/learn/tutorials/news-3-searching.html.mdThu Feb 05 12:14:32 GMT 2026 20.6K bytes -
text-search-ml.html.md
# Improving Text Search through ML At this point, we assume you have read our [Text Search Tutorial](text-search.html) and accomplished the following steps. - Created and deployed a basic text sear...docs.vespa.ai/en/learn/tutorials/text-search-ml.html.mdThu Feb 05 12:14:32 GMT 2026 19.5K bytes -
vespa_test.html.md
# vespa test ## vespa test Run a test suite, or a single test ### Synopsis Run a test suite, or a single test Runs all JSON test files in the specified directory, or the single JSON test file speci...docs.vespa.ai/en/reference/clients/vespa-cli/vespa_test.html.mdThu Feb 05 12:14:32 GMT 2026 1.7K bytes -
text-search.html.md
# Text Search Tutorial This tutorial will guide you through setting up a simple text search application. At the end, you can index text documents in Vespa and search them via text queries. The appl...docs.vespa.ai/en/learn/tutorials/text-search.html.mdThu Feb 05 12:14:32 GMT 2026 27.3K bytes -
news-6-recommendation-with-searchers.html.md
# News search and recommendation tutorial - Searchers This is the sixth part of the tutorial series for setting up a Vespa application for personalized news recommendations. The parts are: 1. [Gett...docs.vespa.ai/en/learn/tutorials/news-6-recommendation-with-searchers.html.mdThu Feb 05 12:14:32 GMT 2026 16.8K bytes -
e-commerce.html.md
# Use Case - shopping The [e-commerce, or shopping, use case](https://github.com/vespa-engine/sample-apps/tree/master/use-case-shopping)is an example of an e-commerce site complete with sample data...docs.vespa.ai/en/learn/tutorials/e-commerce.html.mdThu Feb 05 12:14:32 GMT 2026 3.2K bytes -
attributes.html.md
# Attributes An _attribute_ is a [schema](../reference/schemas/schemas.html#attribute) keyword, specifying the indexing for a field: ``` field price type int { indexing: attribute } ``` Attribute p...docs.vespa.ai/en/content/attributes.html.mdThu Feb 05 12:14:32 GMT 2026 22.7K bytes -
document-v1-api-guide.html.md
# /document/v1 API guide Use the _/document/v1/_ API to read, write, update and delete documents. Refer to the [document/v1 API reference](../reference/api/document-v1.html) for API details. [Reads...docs.vespa.ai/en/writing/document-v1-api-guide.html.mdThu Feb 05 12:14:32 GMT 2026 17K bytes -
nativerank.html.md
# The nativeRank rank feature The _nativeRank_ text match score is a reasonably good text feature score which is computed at an acceptable performance by Vespa. It computes a normalized rank score ...docs.vespa.ai/en/ranking/nativerank.html.mdThu Feb 05 12:14:32 GMT 2026 9.2K bytes