Struct OpenAIEmbedder 

pub struct OpenAIEmbedder { /* private fields */ }

OpenAI embedding client

Requires the openai feature to be enabled. Supports OpenAI, OpenRouter, Azure OpenAI, and other OpenAI-compatible APIs.

Implementations

impl OpenAIEmbedder

pub fn new(api_key: String) -> Self

Create a new OpenAI embedder with default settings

pub fn with_config( api_key: String, base_url: Option<String>, model: Option<String>, dimensions: Option<usize>, ) -> Self

Create a new OpenAI embedder with custom settings

Arguments

• api_key - API key for authentication
• base_url - API base URL (e.g., “https://openrouter.ai/api/v1” for OpenRouter)
• model - Model name (e.g., “openai/text-embedding-3-small” for OpenRouter)
• dimensions - Expected embedding dimensions (must match model output)

pub fn with_model(api_key: String, model: String, dimensions: usize) -> Self

Legacy constructor for backwards compatibility

pub async fn embed_async(&self, text: &str) -> Result<Vec<f32>>

Async embedding call to OpenAI-compatible API

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

Async batch embedding (up to 2048 inputs per call)

Trait Implementations

impl Embedder for OpenAIEmbedder

Available on crate feature openai only.

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

Generate embedding for a single text

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

Generate embeddings for multiple texts (batch)

fn dimensions(&self) -> usize

Get embedding dimensions

fn model_name(&self) -> &str

Get model name