pub trait EmbeddingProvider: Send + Sync {
// Required methods
fn embed<'life0, 'life1, 'async_trait>(
&'life0 self,
text: &'life1 str,
) -> Pin<Box<dyn Future<Output = Result<Vec<f32>, EmbeddingError>> + Send + 'async_trait>>
where Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait;
fn dimensions(&self) -> usize;
fn model_name(&self) -> &str;
// Provided method
fn embed_batch<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
texts: &'life1 [&'life2 str],
) -> Pin<Box<dyn Future<Output = Result<Vec<Vec<f32>>, EmbeddingError>> + Send + 'async_trait>>
where Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait { ... }
}Expand description
Trait for pluggable embedding backends.
Implementations convert text into fixed-dimensionality float vectors suitable for HNSW indexing and cosine similarity search.
Required Methods§
Sourcefn embed<'life0, 'life1, 'async_trait>(
&'life0 self,
text: &'life1 str,
) -> Pin<Box<dyn Future<Output = Result<Vec<f32>, EmbeddingError>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
fn embed<'life0, 'life1, 'async_trait>(
&'life0 self,
text: &'life1 str,
) -> Pin<Box<dyn Future<Output = Result<Vec<f32>, EmbeddingError>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
Embed a single text chunk into a vector.
Sourcefn dimensions(&self) -> usize
fn dimensions(&self) -> usize
Dimensionality of the output vectors.
Sourcefn model_name(&self) -> &str
fn model_name(&self) -> &str
Name of the embedding model (for metadata tracking).
Provided Methods§
Sourcefn embed_batch<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
texts: &'life1 [&'life2 str],
) -> Pin<Box<dyn Future<Output = Result<Vec<Vec<f32>>, EmbeddingError>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
fn embed_batch<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
texts: &'life1 [&'life2 str],
) -> Pin<Box<dyn Future<Output = Result<Vec<Vec<f32>>, EmbeddingError>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
Embed a batch of text chunks.
The default implementation calls embed in a loop.
Backends that support native batching should override this for
efficiency.