Struct SemanticEmbeddingsConfig 

pub struct SemanticEmbeddingsConfig {
    pub backend: String,
    pub model: String,
    pub dimension: usize,
    pub use_gpu: bool,
    pub similarity_metric: String,
    pub batch_size: usize,
}

Semantic embeddings configuration (neural models)

Fields

backend: String

Backend: “huggingface”, “openai”, “voyage”, “cohere”, “jina”, “mistral”, “together”, “ollama”

model: String

Model identifier (provider-specific)

dimension: usize

Embedding dimension

use_gpu: bool

Use GPU acceleration if available

similarity_metric: String

Similarity metric (cosine, euclidean, dot_product)

batch_size: usize

Batch size for embeddings generation

Trait Implementations

impl Clone for SemanticEmbeddingsConfig

fn clone(&self) -> SemanticEmbeddingsConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SemanticEmbeddingsConfig

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

Formats the value using the given formatter.

impl Default for SemanticEmbeddingsConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for SemanticEmbeddingsConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for SemanticEmbeddingsConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.