Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.

Interface RetrievalOrBuilder (1.3.0)

public interface RetrievalOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getDisableAttribution()

public abstract boolean getDisableAttribution()

Optional. Disable using the result from this tool in detecting grounding attribution. This does not affect how the result is given to the model for generation.

bool disable_attribution = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`boolean`	The disableAttribution.

getSourceCase()

public abstract Retrieval.SourceCase getSourceCase()

Returns
Type	Description
`Retrieval.SourceCase`

getVertexAiSearch()

public abstract VertexAISearch getVertexAiSearch()

Set to use data source powered by Vertex AI Search.

.google.cloud.vertexai.v1.VertexAISearch vertex_ai_search = 2;

Returns
Type	Description
`VertexAISearch`	The vertexAiSearch.

getVertexAiSearchOrBuilder()

public abstract VertexAISearchOrBuilder getVertexAiSearchOrBuilder()

Set to use data source powered by Vertex AI Search.

.google.cloud.vertexai.v1.VertexAISearch vertex_ai_search = 2;

Returns
Type	Description
`VertexAISearchOrBuilder`

hasVertexAiSearch()

public abstract boolean hasVertexAiSearch()

Set to use data source powered by Vertex AI Search.

.google.cloud.vertexai.v1.VertexAISearch vertex_ai_search = 2;

Returns
Type	Description
`boolean`	Whether the vertexAiSearch field is set.