Optional. Fully-qualified Vertex AI Search data store resource ID.
Format:
projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}
[[["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 2025-03-25 UTC."],[[["The `VertexAISearch` class, part of the Google Cloud AI Platform v1beta1 API, facilitates retrieval from a Vertex AI Search datastore or engine for grounding, with datastore and engine being mutually exclusive."],["This class is implemented with interfaces such as `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and also inherits from the `object` class."],["The class has two constructors, the first one being a default constructor, and the second one allowing for the copy of another `VertexAISearch` object, in addition to having methods, such as `GetHashCode()`, `GetType()`, and `ToString()` available."],["`VertexAISearch` has two properties, `Datastore` and `Engine`, both optional strings representing the fully-qualified resource IDs for the respective Vertex AI Search components."]]],[]]