Tuatara Topics

Tuatara Topics: find the topics in a set of documents. Returns num_topics topics, each with its words, a label, a description and a weight, plus every document's topic mixture, in one call; a dictionary model's word knowledge guides a probabilistic topic model, so topics are coherent on small sets and short texts. Nothing is trained on or kept from the request. 4 to 500 documents of up to 20,000 characters per call.

Tuatara Topics: place one document on the general topic set (the served model's topics) and return the topics it belongs to with their weights. Nothing is stored.