> For the complete documentation index, see [llms.txt](https://docs.flowiseai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flowiseai.com/espanol/documentacion-oficial/integraciones/llamaindex/engine/sub-question-query-engine.md).

# Sub-Question Query Engine

Un query engine diseñado para resolver el problema de responder a una consulta compleja utilizando múltiples fuentes de datos. Primero divide la consulta compleja en sub-preguntas para cada fuente de datos relevante, luego reúne todas las respuestas intermedias y sintetiza una respuesta final.

<figure><img src="/files/I5Pi3rQI3jTVdV2PMcfC" alt=""><figcaption></figcaption></figure>

## Entradas

* Query Engine Tools
* Chat Model
* Embeddings
* [Response Synthesizer](/espanol/documentacion-oficial/integraciones/llamaindex/response-synthesizer.md)

## Parámetros

| Nombre                  | Descripción                                                           |
| ----------------------- | --------------------------------------------------------------------- |
| Return Source Documents | Para devolver citas/fuentes que se usaron para construir la respuesta |

## Salidas

| Nombre                 | Descripción                           |
| ---------------------- | ------------------------------------- |
| SubQuestionQueryEngine | Nodo final para devolver la respuesta |


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.flowiseai.com/espanol/documentacion-oficial/integraciones/llamaindex/engine/sub-question-query-engine.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.