YouTube Transcript Chunks for RAG and LLMs
Turn Andrej Karpathy's "Intro to Large Language Models" into overlapping text chunks with timestamps, ready for embeddings, vector databases and RAG pipelines.
Input
Output fields
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The YouTube Transcript Scraper - Subtitles & Captions Actor is ready to run with the inputs already set for "YouTube Transcript Chunks for RAG and LLMs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "YouTube Transcript Chunks for RAG and LLMs" task
The YouTube Transcript Scraper - Subtitles & Captions Actor will start running based on the input automatically. You can also change all the input fields, like youtube urls, video ids or @handles, output formats, and more, to match your specific use case.
Receive the "YouTube Transcript Chunks for RAG and LLMs" 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 video, title, and chunks.
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 "YouTube Transcript Chunks for RAG and LLMs" task via API.
Integrate "YouTube Transcript Chunks for RAG and LLMs" into your workflow
Connect "YouTube Transcript Chunks for RAG and LLMs" with 100+ integrations, or run it via API or MCP.
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