Prepare RAG Context as Markdown
Scrape Sage
Minimal rows for retrieval pipelines: URL, title and the page as clean Markdown. Content formatted for chunking, embedding and LLM prompts.
Input
Output fields
Sign up on Apify or log in
The URL to Markdown - Clean Web Pages for LLMs & RAG Actor is ready to run with the inputs already set for "Prepare RAG Context as Markdown". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Prepare RAG Context as Markdown" task
The URL to Markdown - Clean Web Pages for LLMs & RAG Actor will start running based on the input automatically. You can also change all the input fields, like URLs and output fields (leave empty for all), to match your specific use case.
Receive the "Prepare RAG Context as Markdown" 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, status, title, 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 "Prepare RAG Context as Markdown" task via API.
