35 lines
1.7 KiB
Markdown
35 lines
1.7 KiB
Markdown
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---
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mapped_pages:
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- https://www.elastic.co/guide/en/elasticsearch/reference/current/vector-queries.html
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---
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# Vector queries [vector-queries]
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Vector queries are specialized queries that work on vector fields to efficiently perform [semantic search](docs-content://solutions/search/semantic-search.md).
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[`knn` query](/reference/query-languages/query-dsl/query-dsl-knn-query.md)
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: A query that finds the *k* nearest vectors to a query vector for [`dense_vector`](/reference/elasticsearch/mapping-reference/dense-vector.md) fields, as measured by a similarity metric.
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[`sparse_vector` query](/reference/query-languages/query-dsl/query-dsl-sparse-vector-query.md)
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: A query used to search [`sparse_vector`](/reference/elasticsearch/mapping-reference/sparse-vector.md) field types.
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[`semantic` query](/reference/query-languages/query-dsl/query-dsl-semantic-query.md)
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: A query that allows you to perform semantic search on [`semantic_text`](/reference/elasticsearch/mapping-reference/semantic-text.md) fields.
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## Deprecated vector queries [_deprecated_vector_queries]
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The following queries have been deprecated and will be removed in the near future. Use the [`sparse_vector` query](/reference/query-languages/query-dsl/query-dsl-sparse-vector-query.md) query instead.
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[`text_expansion` query](/reference/query-languages/query-dsl/query-dsl-text-expansion-query.md)
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: A query that allows you to perform sparse vector search on [`sparse_vector`](/reference/elasticsearch/mapping-reference/sparse-vector.md) or [`rank_features`](/reference/elasticsearch/mapping-reference/rank-features.md) fields.
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[`weighted_tokens` query](/reference/query-languages/query-dsl/query-dsl-weighted-tokens-query.md)
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: Allows to perform text expansion queries optimizing for performance.
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