# PDF RAG with LLM

> PDF RAG with LLM - Use an LLM as an OCR tool to extract all the text, table, and graph data from a
> PDF, then build a RAG and playground chat on DataRobot.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:09.579207+00:00` (UTC).

## Primary page

- [PDF RAG with LLM](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/llm-multimodal-pdf.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [AI accelerators](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/index.html): Linked from this page.
- [LLM and GenAI applications](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/index.html): Linked from this page.

## Documentation content

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/tree/main/generative_ai/LLM%20Multimodal%20PDF%20RAG)

This accelerator introduces an approach to use an LLM as an OCR tool. Supply a PDF and split it into multiple images, then extract the text, table, and graph data from the PDF with an LLM, saving them as Markdown files. Use those files to build a RAG and then create a chat in the DataRobot playground.