Struct MockLocalModel 

pub struct MockLocalModel { /* private fields */ }

Mock implementation for local embedding model Intended for testing only - in production should not be used

Implementations

impl MockLocalModel

pub fn new(name: String, dimension: usize) -> Self

pub fn generate_mock_embedding(&self, text: &str) -> Vec<f32>

Generate a deterministic mock embedding for testing

Trait Implementations

impl EmbeddingProvider for MockLocalModel

fn embed_text<'life0, 'life1, 'async_trait>( &'life0 self, text: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<Vec<f32>>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Generate embedding for a single text

fn embed_batch<'life0, 'life1, 'async_trait>( &'life0 self, texts: &'life1 [String], ) -> Pin<Box<dyn Future<Output = Result<Vec<Vec<f32>>>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Generate embeddings for multiple texts in batch

fn similarity<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, text1: &'life1 str, text2: &'life2 str, ) -> Pin<Box<dyn Future<Output = Result<f32>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait,

Calculate semantic similarity between two texts

fn embedding_dimension(&self) -> usize

Get the embedding dimension for this provider

fn model_name(&self) -> &str

Get the model name/identifier

fn is_available<'life0, 'async_trait>( &'life0 self, ) -> Pin<Box<dyn Future<Output = bool> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Check if the provider is available/configured

fn warmup<'life0, 'async_trait>( &'life0 self, ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Warm up the provider (load models, test connections, etc.)

fn metadata(&self) -> Value

Get provider-specific metadata