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Split Text into RAG & Embedding Chunks
Split documents into overlap-aware chunks for embeddings, vector databases and LLM context. Copy the task, adjust the visible inputs and run it as-is or on a schedule.
Text Splitter & RAG Chunker API — Recursive Embedding Chunkszenomastro/text-splitter-for-llm
Record type
Doc
Chunk #
Chunk id
+7 fieldsTextNumberBooleanListObject
Input
Text:Retrieval augmented generation uses chunks. This is a second sentence for a deterministic smoke test.
Chunk size:50
Chunk overlap:10
Split by:sentence
Output fields
Record type
Doc
Chunk #
Chunk id
Strategy
Next
Previous
Chars
Word count
~Tokens
Chunk text
Sign up on Apify01
Create your Apify account to access the Text Splitter & RAG Chunker API — Recursive Embedding Chunks.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
