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application-packages.html.md
# Application Packages An _application package_ is a set of files in a specific structure that defines a deployable application. It contains _all_ the configuration, components and machine-learned ...docs.vespa.ai/en/application-packages.html.mdRegistered: Wed Oct 15 05:19:41 UTC 2025 - Last Modified: Mon Oct 13 13:46:38 UTC 2025 - 21K bytes - Viewed (0) -
overview.html.md
# Vespa Overview Vespa is a platform for applications which need low-latency computation over large data sets. It stores and indexes your structured, text and vector data so that queries, selection...docs.vespa.ai/en/overview.html.mdRegistered: Wed Nov 05 06:33:40 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 11.5K bytes - Viewed (0) -
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/tutorials/news-6-recommendation-with-searchers.html.mdRegistered: Wed Nov 05 06:37:16 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 16.8K bytes - Viewed (0) -
news-4-embeddings.html.md
# News search and recommendation tutorial - embeddings This is the fourth part of the tutorial series for setting up a Vespa application for personalized news recommendations. The parts are: 1. [Ge...docs.vespa.ai/en/tutorials/news-4-embeddings.html.mdRegistered: Wed Nov 05 06:36:21 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 22K bytes - Viewed (0) -
news-7-recommendation-with-parent-child.html.md
# News Recommendation Tutorial - parent child and tensor ranking This is the seventh part of the tutorial series for setting up a Vespa application for personalized news recommendations. The parts ...docs.vespa.ai/en/tutorials/news-7-recommendation-with-parent-child.html.mdRegistered: Wed Nov 05 06:39:27 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 14.6K bytes - Viewed (0) -
nearest-neighbor-search.html.md
# Nearest Neighbor Search Nearest neighbor search, or vector search, is a technique used to find the closest data points to a given query point in a high-dimensional vector space. This is supported...docs.vespa.ai/en/nearest-neighbor-search.html.mdRegistered: Wed Nov 05 06:38:20 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 17.2K bytes - Viewed (0) -
visiting.html.md
# Visiting Visiting is a feature to efficiently get or process a set of documents, identified by a [document selection expression](reference/document-select-language.html). Visiting is often used t...docs.vespa.ai/en/visiting.html.mdRegistered: Wed Nov 05 06:44:20 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 19K bytes - Viewed (0) -
using-wand-with-vespa.html.md
# Accelerated OR search using the WAND algorithm This document describes how to use the Weak And algorithm for accelerated OR like search. The WAND algorithm is described in detail in [Efficient Qu...docs.vespa.ai/en/using-wand-with-vespa.html.mdRegistered: Wed Nov 05 06:42:33 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 12.3K bytes - Viewed (0) -
cross-encoders.html.md
# Ranking With Transformer Cross-Encoder Models [Cross-Encoder Transformer](https://blog.vespa.ai/pretrained-transformer-language-models-for-search-part-4/) based text ranking models are generally ...docs.vespa.ai/en/cross-encoders.html.mdRegistered: Wed Nov 05 06:42:46 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 10.9K bytes - Viewed (0) -
graceful-degradation.html.md
# Graceful Query Coverage Degradation Ideally one want to query all data indexed in a Vespa cluster within the specified timeout, but that might not be possible for different reasons: - The system ...docs.vespa.ai/en/graceful-degradation.html.mdRegistered: Wed Nov 05 06:56:44 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 10.7K bytes - Viewed (0)