Optional batchThe maximum number of documents to embed in a single request. This is limited by the OpenAI API to a maximum of 2048.
Optional maxThe maximum number of concurrent calls that can be made.
Defaults to Infinity, which means no limit.
Optional maxThe maximum number of retries that can be made for a single call, with an exponential backoff between each attempt. Defaults to 6.
Optional modelThe model name to provide as part of this embeddings request. Not applicable to Azure OpenAI, where deployment information should be included in the Azure resource URI that's connected to.
Optional onCustom handler to handle failed attempts. Takes the originally thrown error object as input, and should itself throw an error if the input error is not retryable.
Optional stripWhether to strip new lines from the input text. This is recommended by OpenAI for older models, but may not be suitable for all use cases. See: https://github.com/openai/openai-python/issues/418#issuecomment-1525939500
Optional timeoutTimeout to use when making requests to OpenAI.
Optional userAn identifier for the caller or end user of the operation. This may be used for tracking or rate-limiting purposes.
Generated using TypeDoc
The parameters required to initialize an instance of the Embeddings class.