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RAG Dataset from Apify Actor Documentation

Convert Apify Actor publishing docs into clean Markdown chunks. Gain structured, retrieval-ready data for AI assistants and vector databases.

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Website to RAG Dataset
Website to RAG Datasetsebastian-actors/website-to-rag-dataset
URL
Title
Status
Markdown
+5 fields
Text
Number
Boolean
List
Object

Input

URLs:https://docs.apify.com/actors/publishing+12
Max pages:20
Respect robots.txt:true
Output mode:pages_and_chunks
Include Markdown:true
Include freshness signals:true
Chunk size:800
Chunk overlap:100

Output fields

URL
Title
Status
Markdown
Estimated tokens
Chunk count
Schema types
Processed at
Error

How it works

Sign up on Apify or log in

The Website to RAG Dataset Actor is ready to run with the inputs already set for "RAG Dataset from Apify Actor Documentation". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "RAG Dataset from Apify Actor Documentation" task

The Website to RAG Dataset Actor will start running based on the input automatically. You can also change all the input fields, like URLs, max pages, and more, to match your specific use case.

Receive the "RAG Dataset from Apify Actor Documentation" 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 URL, title, status, 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 "RAG Dataset from Apify Actor Documentation" task via API.

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