Optional apiThe API key to use.
{process.env.NOMIC_API_KEY}
Optional batchThe maximum number of documents to embed in a single request.
{400}
Optional dimensionalityThe output size of the embedding model. Applicable only to models that support variable dimensionality and defaults to the models largest embedding size.
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 name of the model to use.
{"nomic-embed-text-v1"}
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, but may not be suitable for all use cases.
{true}
Optional taskThe task your embeddings should be specialized for: search_query, search_document, clustering, classification.
{"search_document"}
Generated using TypeDoc
Interface for NomicEmbeddings parameters. Extends EmbeddingsParams and defines additional parameters specific to the NomicEmbeddings class.