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Vespa Benchmarking
Vespa basics Deploy an application Vespa applications Schemas Writing Querying Ranking Operations What's more Learn m...docs.vespa.ai/en/performance/benchmarking.htmlRegistered: Fri Jan 16 06:27:27 UTC 2026 - Last Modified: Wed Jan 14 16:23:23 UTC 2026 - 289.8K bytes - Viewed (0) -
Custom Configuration File Reference
Vespa basics Deploy an application Vespa applications Schemas Writing Querying Ranking Operations What's more Learn m...docs.vespa.ai/en/reference/applications/config-files.htmlRegistered: Fri Jan 16 06:27:59 UTC 2026 - Last Modified: Wed Jan 14 16:23:23 UTC 2026 - 315.7K bytes - Viewed (0) -
query-api.html.md
# Query API Use the Vespa Query API to query, rank and organize data. Example: ``` $ vespa query "select * from music where year > 2001" \ "ranking=rank_albums" \ "input.query(user_profile)={{cat:p...docs.vespa.ai/en/querying/query-api.html.mdRegistered: Fri Jan 16 06:53:52 UTC 2026 - Last Modified: Wed Jan 14 16:23:23 UTC 2026 - 36.3K bytes - Viewed (0) -
ranking-expressions-features.html.md
# Ranking Expressions and Features Read the [ranking introduction](../basics/ranking.html) first. This guide is about [ranking expressions](../reference/ranking/ranking-expressions.html)and [rank f...docs.vespa.ai/en/ranking/ranking-expressions-features.html.mdRegistered: Fri Jan 16 06:54:27 UTC 2026 - Last Modified: Wed Jan 14 16:23:23 UTC 2026 - 17.2K bytes - Viewed (0) -
index.html.md
# Performance ## Practical search performance guide See [practical search performance guide](practical-search-performance-guide.html). The guide walks through a music search use case and gives a pr...docs.vespa.ai/en/performance/index.html.mdRegistered: Fri Jan 16 06:54:34 UTC 2026 - Last Modified: Wed Jan 14 16:23:23 UTC 2026 - 1.8K bytes - Viewed (0) -
pluggable-frameworks.html.md
# Using pluggable frameworks Many libraries provide pluggable architectures via Service Provider Interfaces (SPI). Using such libraries usually requires some manual setup in the application package...docs.vespa.ai/en/applications/pluggable-frameworks.html.mdRegistered: Fri Jan 16 06:52:32 UTC 2026 - Last Modified: Wed Jan 14 16:23:23 UTC 2026 - 2.3K 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/querying/nearest-neighbor-search.html.mdRegistered: Fri Jan 16 06:53:34 UTC 2026 - Last Modified: Wed Jan 14 16:23:23 UTC 2026 - 17.4K bytes - Viewed (0) -
phased-ranking.html.md
# Phased Ranking Vespa allows expressing multiphased retrieval and ranking of documents. The retrieval phase is done close to the data in the content nodes, while the ranking phase(s) can be done i...docs.vespa.ai/en/ranking/phased-ranking.html.mdRegistered: Fri Jan 16 06:56:18 UTC 2026 - Last Modified: Wed Jan 14 16:23:23 UTC 2026 - 19.7K bytes - Viewed (0) -
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.mdRegistered: Fri Jan 16 06:56:22 UTC 2026 - Last Modified: Wed Jan 14 16:23:23 UTC 2026 - 9.2K bytes - Viewed (0) -
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.mdRegistered: Fri Jan 16 06:57:34 UTC 2026 - Last Modified: Wed Jan 14 16:23:23 UTC 2026 - 22.6K bytes - Viewed (0)