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.
All changes: To see what else changed between preview and GA, see Switch from Discovery for Media to media recommendations in the Vertex AI Search documentation.

EmbeddingSpec

The specification that uses customized query embedding vector to do semantic document retrieval.

JSON representation
{ "embeddingVectors": [ { object (`EmbeddingVector`) } ] }

Fields

Fields
`embeddingVectors[]`	`object (EmbeddingVector)` The embedding vector used for retrieval. Limit to 1.

embeddingVectors[]

The embedding vector used for retrieval. Limit to 1.

EmbeddingVector

Embedding vector.

JSON representation
{ "fieldPath": string, "vector": [ number ] }

Fields

Fields
`fieldPath`	`string` Embedding field path in schema.
`vector[]`	`number` Query embedding vector.

fieldPath

string

Embedding field path in schema.

vector[]

number

Query embedding vector.