pub struct Embeddings<'c, C: Config> { /* private fields */ }
Expand description
Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
Related guide: Embeddings
Implementations§
Source§impl<'c, C: Config> Embeddings<'c, C>
impl<'c, C: Config> Embeddings<'c, C>
pub fn new(client: &'c Client<C>) -> Self
Sourcepub async fn create(
&self,
request: CreateEmbeddingRequest,
) -> Result<CreateEmbeddingResponse, OpenAIError>
pub async fn create( &self, request: CreateEmbeddingRequest, ) -> Result<CreateEmbeddingResponse, OpenAIError>
Creates an embedding vector representing the input text.
Sourcepub async fn create_base64(
&self,
request: CreateEmbeddingRequest,
) -> Result<CreateBase64EmbeddingResponse, OpenAIError>
pub async fn create_base64( &self, request: CreateEmbeddingRequest, ) -> Result<CreateBase64EmbeddingResponse, OpenAIError>
Creates an embedding vector representing the input text.
The response will contain the embedding in base64 format.
Auto Trait Implementations§
impl<'c, C> Freeze for Embeddings<'c, C>
impl<'c, C> !RefUnwindSafe for Embeddings<'c, C>
impl<'c, C> Send for Embeddings<'c, C>where
C: Sync,
impl<'c, C> Sync for Embeddings<'c, C>where
C: Sync,
impl<'c, C> Unpin for Embeddings<'c, C>
impl<'c, C> !UnwindSafe for Embeddings<'c, C>
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more