elasticsearch-js/docs/reference/api/InferenceCohereTaskSettings.md

Interface InferenceCohereTaskSettings

Name	Type	Description
input_type	InferenceCohereInputType	For a text_embedding task, the type of input passed to the model. Valid values are: * classification: Use it for embeddings passed through a text classifier. * clustering: Use it for the embeddings run through a clustering algorithm. * ingest: Use it for storing document embeddings in a vector database. * search: Use it for storing embeddings of search queries run against a vector database to find relevant documents. IMPORTANT: The input_type field is required when using embedding models v3 and higher.
return_documents	boolean	For a rerank task, return doc text within the results.
top_n	integer	For a rerank task, the number of most relevant documents to return. It defaults to the number of the documents. If this inference endpoint is used in a text_similarity_reranker retriever query and top_n is set, it must be greater than or equal to rank_window_size in the query.
truncate	InferenceCohereTruncateType	For a text_embedding task, the method to handle inputs longer than the maximum token length. Valid values are: * END: When the input exceeds the maximum input token length, the end of the input is discarded. * NONE: When the input exceeds the maximum input token length, an error is returned. * START: When the input exceeds the maximum input token length, the start of the input is discarded.