Optional fields: Partial<MistralAIEmbeddingsParams>The API key to use.
{process.env.MISTRAL_API_KEY}
The maximum number of documents to embed in a single request.
{512}
The async caller should be used by subclasses to make any async calls, which will thus benefit from the concurrency and retry logic.
The format of the output data.
{"float"}
The name of the model to use.
{"mistral-embed"}
Whether to strip new lines from the input text. This is recommended, but may not be suitable for all use cases.
{true}
Optional endpointOverride the default endpoint.
Method to generate embeddings for an array of documents. Splits the documents into batches and makes requests to the MistralAI API to generate embeddings.
Array of documents to generate embeddings for.
Promise that resolves to a 2D array of embeddings for each document.
Method to generate an embedding for a single document. Calls the embeddingWithRetry method with the document as the input.
Document to generate an embedding for.
Promise that resolves to an embedding for the document.
Generated using TypeDoc
Class for generating embeddings using the MistralAI API.