Struct OpenAIEmbeddingClient

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pub struct OpenAIEmbeddingClient { /* private fields */ }
Expand description

§OpenAIEmbeddingClient

Allows for interacting with the OpenAI API to generate embeddings. You can either embed a single string or a batch of strings.

§Examples

use rag_toolchain::common::*;
use rag_toolchain::clients::*;
async fn generate_embedding() {
    let client: OpenAIEmbeddingClient = OpenAIEmbeddingClient::try_new(OpenAIEmbeddingModel::TextEmbeddingAda002).unwrap();
    let chunk: Chunk = Chunk::new("this would be the text you are embedding");
    let embedding: Embedding = client.generate_embedding(chunk).await.unwrap();
    // This would be the vector representation of the text
    let vector: Vec<f32> = embedding.vector();
}

§Required Environment Variables

OPENAI_API_KEY: The API key to use for the OpenAI API

Implementations§

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impl OpenAIEmbeddingClient

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pub fn try_new( embedding_model: OpenAIEmbeddingModel, ) -> Result<OpenAIEmbeddingClient, VarError>

§OpenAIEmbeddingClient::try_new

Constructor to create a new OpenAIEmbeddingClient. This will fail if the OPENAI_API_KEY environment variable is not set.

§Arguments
§Errors
  • VarError - If the OPENAI_API_KEY environment variable is not set.
§Returns

Trait Implementations§

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impl AsyncEmbeddingClient for OpenAIEmbeddingClient

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async fn generate_embeddings( &self, text: Chunks, ) -> Result<Vec<Embedding>, OpenAIError>

§OpenAIEmbeddingClient::generate_embeddings

Function to generate embeddings for Chunks. Allows you to get an embedding for multiple strings.

§Arguments
  • text: Chunk - The text chunks/strings to generate an embeddings for.
§Errors
§Returns
  • Vec<Embedding> - A result containing pairs of the original text and the embedding that was generated.
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async fn generate_embedding( &self, text: Chunk, ) -> Result<Embedding, Self::ErrorType>

§OpenAIEmbeddingClient::generate_embedding

Function to generate an embedding for a Chunk. Allows you to get an embedding for a single string.

§Arguments
  • text: Chunk - The text chunk/string to generate an embedding for.
§Errors
§Returns
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type ErrorType = OpenAIError

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