Struct EmbeddingConfig 

pub struct EmbeddingConfig {
    pub model: String,
    pub model_path: Option<String>,
    pub dimension: usize,
    pub max_length: usize,
    pub normalize: bool,
    pub batch_size: usize,
    pub cache_size: usize,
    pub cache_ttl_secs: u64,
}

Configuration for embedding providers

Fields

model: String

Model identifier (e.g., “all-MiniLM-L6-v2”)

model_path: Option<String>

Model path (for local ONNX models)

dimension: usize

Embedding dimension

max_length: usize

Maximum text length

normalize: bool

Whether to normalize embeddings

batch_size: usize

Batch size for embedding generation

cache_size: usize

Cache size (number of embeddings to cache)

cache_ttl_secs: u64

Cache TTL in seconds (0 = no expiry)

Implementations

impl EmbeddingConfig

pub fn sentence_transformer(model: &str) -> Self

Create config for sentence-transformers models

pub fn openai(model: &str) -> Self

Create config for OpenAI-compatible models

Trait Implementations

impl Clone for EmbeddingConfig

fn clone(&self) -> EmbeddingConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for EmbeddingConfig

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

Formats the value using the given formatter.

impl Default for EmbeddingConfig

fn default() -> Self

Returns the “default value” for a type.