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Chunk a research paper PDF for RAG

Splits an arXiv research paper (example: 'Attention Is All You Need') into heading-aware chunks of about 1,500 characters with overlap, each with its section path, page range and token estimate. Ready to embed into Pinecone, Qdrant, Chroma or any vector database for retrieval-augmented generation.

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PDF to Markdown & RAG Chunks
PDF to Markdown & RAG Chunksdatacolada/pdf-to-markdown-rag
PDF
#
Section
From page
+3 fields
Text
Number
Boolean
List
Object

Input

PDF URLs(required):https://arxiv.org/pdf/1706.03762
Output:chunks
Chunk size (characters):1500
Chunk overlap (characters):150

Output fields

PDF
#
Section
From page
To page
~Tokens
Text

How it works

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The PDF to Markdown & RAG Chunks Actor is ready to run with the inputs already set for "Chunk a research paper PDF 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 research paper PDF for RAG" task

The PDF to Markdown & RAG Chunks Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs, output, and more, to match your specific use case.

Receive the "Chunk a research paper PDF 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 PDF, #, section, 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 research paper PDF for RAG" task via API.

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