class TogetherAIEmbeddingsClass for generating embeddings using the TogetherAI API. Extends the Embeddings class and implements TogetherAIEmbeddingsParams.
Prompt processing batch size.
The async caller should be used by subclasses to make any async calls, which will thus benefit from the concurrency and retry logic.
Model name to use. Available options are: qwen-turbo, qwen-plus, qwen-max, or Other compatible models.
Model name to use. Available options are: qwen-turbo, qwen-plus, qwen-max, or Other compatible models.
Alias for model
Whether to strip new lines from the input text.
Timeout for this call in milliseconds.
Method to generate embeddings for an array of documents. Splits the documents into batches and makes requests to the AlibabaTongyi API to generate embeddings.
Method to generate an embedding for a single document. Calls the embeddingWithRetry method with the document as the input.
const embeddings = new TogetherAIEmbeddings({
apiKey: process.env.TOGETHER_AI_API_KEY, // Default value
model: "togethercomputer/m2-bert-80M-8k-retrieval", // Default value
});
const res = await embeddings.embedQuery(
"What would be a good company name a company that makes colorful socks?"
);