Enum google_api_proto::google::cloud::aiplatform::v1beta1::rag_embedding_model_config::ModelConfig

pub enum ModelConfig {
    VertexPredictionEndpoint(VertexPredictionEndpoint),
    HybridSearchConfig(HybridSearchConfig),
}

The model config to use.

Variants

VertexPredictionEndpoint(VertexPredictionEndpoint)

The Vertex AI Prediction Endpoint that either refers to a publisher model or an endpoint that is hosting a 1P fine-tuned text embedding model. Endpoints hosting non-1P fine-tuned text embedding models are currently not supported. This is used for dense vector search.

HybridSearchConfig(HybridSearchConfig)

Configuration for hybrid search.

Implementations

impl ModelConfig

pub fn encode(&self, buf: &mut impl BufMut)

Encodes the message to a buffer.

pub fn merge( field: &mut Option<ModelConfig>, tag: u32, wire_type: WireType, buf: &mut impl Buf, ctx: DecodeContext, ) -> Result<(), DecodeError>

Decodes an instance of the message from a buffer, and merges it into self.

pub fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

Trait Implementations

impl Clone for ModelConfig

fn clone(&self) -> ModelConfig

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ModelConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for ModelConfig

fn eq(&self, other: &ModelConfig) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for ModelConfig