# `InferenceJinaAITaskSettings` [interface-InferenceJinaAITaskSettings]

| Name | Type | Description |
| - | - | - |
| `return_documents` | boolean | For a `rerank` task, return the doc text within the results. |
| `task` | [InferenceJinaAITextEmbeddingTask](./InferenceJinaAITextEmbeddingTask.md) | For a `text_embedding` task, the task 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. |
| `top_n` | [integer](./integer.md) | 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. |