Class NeuralQuery

Inheritance
object
QueryBase
FieldNameQueryBase
NeuralQuery
Implements
Inherited Members
Namespace: OpenSearch.Client
Assembly: OpenSearch.Client.dll
Syntax
[DataContract]
public class NeuralQuery : FieldNameQueryBase, INeuralQuery, IFieldNameQuery, IQuery

Properties

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Conditionless

Declaration
protected override bool Conditionless { get; }
Property Value
Type Description
bool
Overrides
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ExpandNestedDocs

When true, retrieves scores for all nested field documents within each parent document. Used with nested queries.

Declaration
public bool? ExpandNestedDocs { get; set; }
Property Value
Type Description
bool?
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Filter

A query used to reduce the number of documents considered.

Declaration
public IQueryContainer Filter { get; set; }
Property Value
Type Description
IQueryContainer
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K

The number of results the k-NN search returns. Only one of K, MaxDistance, or MinScore can be specified; if none is set, the server default is k = 10.

Declaration
public int? K { get; set; }
Property Value
Type Description
int?
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MaxDistance

The maximum physical vector space distance required in order for a neighbor to be considered a hit (radial search). Only one of K, MaxDistance, or MinScore can be specified.

Declaration
public float? MaxDistance { get; set; }
Property Value
Type Description
float?
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MethodParameters

Additional engine-specific parameters that control the approximate k-NN search at query time, such as ef_search (HNSW) or nprobes (IVF).

Declaration
public IDictionary<string, object> MethodParameters { get; set; }
Property Value
Type Description
IDictionary<string, object>
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MinScore

The minimum similarity score required in order for a neighbor to be considered a hit (radial search). Only one of K, MaxDistance, or MinScore can be specified.

Declaration
public float? MinScore { get; set; }
Property Value
Type Description
float?
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ModelId

The ID of the model that will be used in the embedding interface. The model must be indexed in OpenSearch before it can be used in Neural Search.

Declaration
public string ModelId { get; set; }
Property Value
Type Description
string
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QueryImage

A Base64-encoded string that corresponds to the query image from which to generate vector embeddings. You must specify at least one of QueryText or QueryImage.

Declaration
public string QueryImage { get; set; }
Property Value
Type Description
string
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QueryText

The query text from which to produce queries. You must specify at least one of QueryText or QueryImage.

Declaration
public string QueryText { get; set; }
Property Value
Type Description
string
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QueryTokens

A raw sparse vector, expressed as tokens and their weights. Used as an alternative to QueryText for direct vector input.

Declaration
public IDictionary<string, float> QueryTokens { get; set; }
Property Value
Type Description
IDictionary<string, float>
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Rescore

Controls the rescoring of approximate k-NN search results using full-precision vectors. Pass a bool to enable or disable rescoring, or a KnnQueryRescoreContext to configure it.

Declaration
public Union<bool, KnnQueryRescoreContext> Rescore { get; set; }
Property Value
Type Description
Union<bool, KnnQueryRescoreContext>
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SemanticFieldSearchAnalyzer

An analyzer for tokenizing QueryText when using a sparse encoding model. Cannot be used together with ModelId.

Declaration
public string SemanticFieldSearchAnalyzer { get; set; }
Property Value
Type Description
string

Implements

Extension Methods