Struct FastEmbedder 

pub struct FastEmbedder { /* private fields */ }

Implementations

impl FastEmbedder

pub fn new() -> Result<Self, EmbedError>

pub fn with_model(model: EmbeddingModel) -> Result<Self, EmbedError>

Trait Implementations

impl Embedder for FastEmbedder

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

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

fn dimension(&self) -> usize

Number of dimensions every vector this embedder produces has.

fn model_id(&self) -> &str

Stable identifier for the model behind this embedder, e.g. "fastembed:AllMiniLML6V2" or "openai:text-embedding-3-small".

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

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

fn max_batch_size(&self) -> usize

Largest number of texts a single embed call should receive. Callers indexing many chunks split their work into groups of at most this size, bounding peak memory (local models) and request size (remote APIs). The default suits the on-device models; raise or lower it to match a backend’s limits.

fn fingerprint(&self) -> String

Fingerprint an index stores to detect that it was built with a different embedder. Re-indexing is required whenever this changes.