Split documents into chunks for RAG
Matvey
Documents split into overlapping chunks sized for embedding, so the output drops straight into a vector store without a chunking step of your own.
Input
Output fields
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The Document Text Extractor Actor is ready to run with the inputs already set for "Split documents into chunks for RAG". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Split documents into chunks for RAG" task
The Document Text Extractor Actor will start running based on the input automatically. You can also change all the input fields, like 📄 document urls, split into rag chunks, and more, to match your specific use case.
Receive the "Split documents into chunks for RAG" 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 source, format, 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 "Split documents into chunks for RAG" task via API.
