Chunk a PDF research paper for RAG

Created by

CodePoetry

Actor

Markdown RAG Chunker: Document Text Splitter

Converts an arXiv PDF (Attention Is All You Need) to Markdown and splits it into 512-token, section-aware chunks with header paths, stable IDs and exact token counts, ready to embed into Pinecone, Qdrant or pgvector. Swap in any PDF URL.

Try for free

Markdown RAG Chunker: Document Text Splittercodepoetry/markdown-rag-chunker

Chunk index

Header path

Token count

Content

+2 fields

Input

Document URL:https://arxiv.org/pdf/1706.03762

Max chunk size (tokens):512

Output fields

Chunk index

Header path

Token count

Content

Chunk ID

Source

How it works

Sign up on Apify or log in

The Markdown RAG Chunker: Document Text Splitter Actor is ready to run with the inputs already set for "Chunk a PDF research paper for RAG". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Chunk a PDF research paper for RAG" task

The Markdown RAG Chunker: Document Text Splitter Actor will start running based on the input automatically. You can also change all the input fields, like document url and max chunk size (tokens), to match your specific use case.

Receive the "Chunk a PDF research paper for RAG" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as chunk index, header path, token count, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Chunk a PDF research paper for RAG" task via API.