Struct LocalEmbedding 

pub struct LocalEmbedding { /* private fields */ }

Local bag-of-words embedding for MVP (no external API needed). Uses TF-based sparse-to-dense mapping with a fixed dimension. Good enough for basic semantic search; replace with OpenAI/Cohere embeddings in production.

Implementations

impl LocalEmbedding

pub fn new(dimension: usize) -> Self

Create a new local embedding generator with the given vector dimension.

Trait Implementations

impl Default for LocalEmbedding

fn default() -> Self

Returns the “default value” for a type.

impl EmbeddingProvider for LocalEmbedding

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

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

Compute embedding vector for a single text.

fn dimension(&self) -> usize

Dimension of the embedding vectors produced by this provider.

fn embed_batch<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, texts: &'life1 [&'life2 str], ) -> Pin<Box<dyn Future<Output = ArgentorResult<Vec<Vec<f32>>>> + Send + 'async_trait>>

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

Compute embeddings for a batch of texts.