ragflow/docs/guides/dataset/best_practices/accelerate_doc_indexing.mdx

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# Accelerate indexing
import APITable from '@site/src/components/APITable';

A checklist to speed up document parsing and indexing.

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Please note that some of your settings may consume a significant amount of time. If you often find that document parsing is time-consuming, here is a checklist to consider:

- Use GPU to reduce embedding time.
- On the configuration page of your dataset, switch off **Use RAPTOR to enhance retrieval**.
- Extracting knowledge graph (GraphRAG) is time-consuming.
- Disable **Auto-keyword** and **Auto-question** on the configuration page of your dataset, as both depend on the LLM.
- **v0.17.0+:** If all PDFs in your dataset are plain text and do not require GPU-intensive processes like OCR (Optical Character Recognition), TSR (Table Structure Recognition), or DLA (Document Layout Analysis), you can choose **Naive** over **DeepDoc** or other time-consuming large model options in the **Document parser** dropdown. This will substantially reduce document parsing time.