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schemas.html.md
# Schemas This is an introduction to schemas in Vespa. You can find all the details in the[schema reference](../reference/schemas/schemas.html). A schema defines a type of data and what we want to ...docs.vespa.ai/en/basics/schemas.html.mdThu Feb 05 12:14:32 GMT 2026 5.2K bytes -
configapi-dev.html.md
# Cloud Config API This document describes how to use the C++ and Java versions of the Cloud config API (the 'config API'). This API is used internally in Vespa, and reading this document is not ne...docs.vespa.ai/en/applications/configapi-dev.html.mdThu Feb 05 12:14:32 GMT 2026 20.9K bytes -
nearest-neighbor-search-guide.html.md
# Vespa nearest neighbor search - a practical guide This guide is a practical introduction to using Vespa nearest neighbor search query operator and how to combine nearest neighbor search with othe...docs.vespa.ai/en/querying/nearest-neighbor-search-guide.html.mdThu Feb 05 12:14:32 GMT 2026 69.3K bytes -
searching-multivalue-fields.html.md
# Searching and ranking of multivalued fields This guide explains how to search and rank over structured multivalued fields. The examples in this guide use the [weightedset](../reference/schemas/sc...docs.vespa.ai/en/querying/searching-multivalue-fields.html.mdThu Feb 05 12:14:32 GMT 2026 19.5K bytes -
buckets.html.md
# Buckets The content layer splits the document space into chunks called _buckets_, and algorithmically maps documents to buckets by their id. The cluster automatically splits and joins buckets to ...docs.vespa.ai/en/content/buckets.html.mdThu Feb 05 12:14:32 GMT 2026 10.1K bytes -
tensor-examples.html.md
# Tensor Computation Examples Tensors can be used to express machine-learned models such as neural nets, but they can be used for much more than that. The tensor model in Vespa is powerful, since i...docs.vespa.ai/en/ranking/tensor-examples.html.mdThu Feb 05 12:14:32 GMT 2026 20.6K bytes -
lightgbm.html.md
# Ranking with LightGBM Models [LightGBM](https://github.com/microsoft/LightGBM) is a gradient boosting framework, similar to [XGBoost](xgboost). Among other[advantages](https://github.com/microsof...docs.vespa.ai/en/ranking/lightgbm.html.mdThu Feb 05 12:14:32 GMT 2026 10.5K bytes -
azure-getting-started.html.md
# Getting started with Vespa Cloud Enclave in Azure Setting up Vespa Cloud Enclave requires: 1. Registration at [Vespa Cloud](https://console.vespa-cloud.com), or use a pre-existing Vespa tenant. 2...docs.vespa.ai/en/operations/enclave/azure-getting-started.html.mdThu Feb 05 12:14:32 GMT 2026 4.3K bytes -
structs.html.md
# Structs This document explains how to use structs in Vespa documents. ## Structs A [struct](../reference/schemas/schemas.html#struct)is contained in a document and groups one or more fields into ...docs.vespa.ai/en/schemas/structs.html.mdThu Feb 05 12:14:32 GMT 2026 2K bytes -
indexing.html.md
# Indexing Refer to the [overview](../learn/overview.html). The primary index configuration is the [schema](../basics/schemas.html). [services.xml](../reference/applications/services/services.html)...docs.vespa.ai/en/writing/indexing.html.mdThu Feb 05 12:14:32 GMT 2026 5.3K bytes