Struct MistralAITextVectorizer 

pub struct MistralAITextVectorizer { /* private fields */ }

Mistral AI embedding adapter.

Uses the Mistral embeddings API. The request format is similar to OpenAI but the Python client sends the field as inputs; the actual Mistral REST API accepts input (same as OpenAI), so we use the standard field name.

Implementations

impl MistralAITextVectorizer

pub fn new(config: MistralConfig) -> Self

Creates a new Mistral AI adapter.

Trait Implementations

impl AsyncVectorizer for MistralAITextVectorizer

fn embed<'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,

Embeds a single string asynchronously.

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

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

Embeds many strings asynchronously.

impl Clone for MistralAITextVectorizer

fn clone(&self) -> MistralAITextVectorizer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MistralAITextVectorizer

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

Formats the value using the given formatter.

impl Vectorizer for MistralAITextVectorizer

fn embed(&self, text: &str) -> Result<Vec<f32>>

Embeds a single string.

fn embed_many(&self, texts: &[&str]) -> Result<Vec<Vec<f32>>>

Embeds many strings.