This preview documentation is deprecated as of October 27, 2023. For GA documentation, go to the Vertex AI Search documentation.
Changes in GA:
Name:Discovery for Media is renamed to Vertex AI Search for media. Vertex AI Search includes media recommendations and media search.
Google Cloud Console page: Use the Agent Builder page in the console. The Discovery Engine console page is deprecated.
API reference: Continue to use the discoveryengine.googleapis.com service. The API remains the same but the documentation has moved. Go to the up-to-date, GA version of the Discovery Engine API reference in the Vertex AI Search documentation.
[[["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 2024-02-13 UTC."],[[["This content outlines the specifications for using customized query embedding vectors for semantic document retrieval."],["The data structure utilizes a JSON representation with a single `embeddingVectors` array containing an object that defines the embedding vector."],["Each embedding vector object includes a `fieldPath` (string) and a `vector` array of numbers, which represents the actual query embedding vector."],["The field path indicates the specific path within the schema where the embedding is found."]]],[]]