Build a RAG-ready index from a docs site
alaudin burki
Returns the chunked content of a documentation site with the boilerplate stripped and near-duplicates removed, sized for embedding. Set the chunk size and overlap to match your retrieval pipeline.
Input
Output fields
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The Docs to Answers Pack — Citable AI-Ready Chunks Actor is ready to run with the inputs already set for "Build a RAG-ready index from a docs site". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Build a RAG-ready index from a docs site" task
The Docs to Answers Pack — Citable AI-Ready Chunks Actor will start running based on the input automatically. You can also change all the input fields, like documentation urls, max pages to crawl, and more, to match your specific use case.
Receive the "Build a RAG-ready index from a docs site" 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 heading, heading path, text, 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 "Build a RAG-ready index from a docs site" task via API.
