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Convert a Public PDF into RAG-Ready Chunks

Convert native-text PDFs into deterministic, token-aware RAG chunks with Markdown, page references, metadata, and stable IDs—ready for vector databases.

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PDF to RAG-Ready Dataset
PDF to RAG-Ready Datasetutilityforgelab/pdf-to-rag-ready-dataset
Document ID
Source URL
Filename
Title
+11 fields
Text
Number
Boolean
List
Object

Input

PDF URLs(required):https://arxiv.org/pdf/2005.14165
Chunk size (tokens):1000
Chunk overlap (tokens):150

Output fields

Document ID
Source URL
Filename
Title
Author
Pages
Chunk index
Chunk count
Start page
End page
Tokens
Plain text
Markdown
Metadata
Error

How it works

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The PDF to RAG-Ready Dataset Actor is ready to run with the inputs already set for "Convert a Public PDF into RAG-Ready Chunks". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Convert a Public PDF into RAG-Ready Chunks" task

The PDF to RAG-Ready Dataset Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs, chunk size (tokens), and more, to match your specific use case.

Receive the "Convert a Public PDF into RAG-Ready Chunks" 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 document id, source url, filename, 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 "Convert a Public PDF into RAG-Ready Chunks" task via API.

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