public sealed class RagRetrievalConfig.Types.HybridSearch : IMessage<RagRetrievalConfig.Types.HybridSearch>, IEquatable<RagRetrievalConfig.Types.HybridSearch>, IDeepCloneable<RagRetrievalConfig.Types.HybridSearch>, IBufferMessage, IMessage
Reference documentation and code samples for the Vertex AI v1beta1 API class RagRetrievalConfig.Types.HybridSearch.
Optional. Alpha value controls the weight between dense and sparse vector
search results. The range is [0, 1], while 0 means sparse vector search
only and 1 means dense vector search only. The default value is 0.5 which
balances sparse and dense vector search equally.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-04-08 UTC."],[[["This documentation covers the `RagRetrievalConfig.Types.HybridSearch` class within the Vertex AI v1beta1 API, providing reference materials and code examples."],["The `HybridSearch` class is used to configure hybrid search settings, combining both dense and sparse vector search techniques."],["The class implements several interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and inherits from `object`."],["The `Alpha` property of the `HybridSearch` class controls the weighting between dense and sparse vector search, with a range from 0 to 1 and a default value of 0.5."],["The `HybridSearch` class offers two constructors: a default constructor and one that accepts another `HybridSearch` instance for copying its configuration."]]],[]]
