Chunk a PDF into 800-token pieces for RAG ingestion

Created by

Owlabee

Actor

PDF & DOCX to Markdown Converter for AI Agents

Converts a research paper PDF to Markdown and splits it into heading-aware chunks of about 800 tokens with an 80-token overlap. Each chunk record carries its index, start and end page, heading path and token estimate, ready to embed into a vector store with page citations.

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PDF & DOCX to Markdown Converter for AI Agentsowlabee/pdf-to-markdown

Type

File

URL

Pages

+5 fields

Input

Document URLs(required):https://arxiv.org/pdf/1706.03762v7

Create RAG chunks:true

Chunk size (tokens):800

Chunk overlap (tokens):80

Output fields

Type

File

URL

Pages

Title

Words

Tables

Chunk #

Error

How it works

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The PDF & DOCX to Markdown Converter for AI Agents Actor is ready to run with the inputs already set for "Chunk a PDF into 800-token pieces for RAG ingestion". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Chunk a PDF into 800-token pieces for RAG ingestion" task

The PDF & DOCX to Markdown Converter for AI Agents Actor will start running based on the input automatically. You can also change all the input fields, like document urls, create rag chunks, and more, to match your specific use case.

Receive the "Chunk a PDF into 800-token pieces for RAG ingestion" 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 type, file, URL, 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 into 800-token pieces for RAG ingestion" task via API.