Split Markdown docs into embedding-ready chunks

Created by

CodePoetry

Actor

Markdown RAG Chunker: Document Text Splitter

Splits a Markdown documentation page on its # / ## / ### headers, caps oversized sections at 512 tokens, and moves headers into metadata so each chunk embeds cleanly. Works with any README, docs page or GitHub raw URL.

Try for free

Markdown RAG Chunker: Document Text Splittercodepoetry/markdown-rag-chunker

Chunk index

Header path

Token count

Content

+2 fields

Input

Document URL:https://raw.githubusercontent.com/yel-hadd/markdown-rag-chunker/main/README.md

Headers to split on:#+2

Move headers to metadata:true

Output fields

Chunk index

Header path

Token count

Content

Chunk ID

Source

How it works

Sign up on Apify or log in

The Markdown RAG Chunker: Document Text Splitter Actor is ready to run with the inputs already set for "Split Markdown docs into embedding-ready chunks". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Split Markdown docs into embedding-ready chunks" task

The Markdown RAG Chunker: Document Text Splitter Actor will start running based on the input automatically. You can also change all the input fields, like document url, headers to split on, and more, to match your specific use case.

Receive the "Split Markdown docs into embedding-ready chunks" 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 chunk index, header path, token count, 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 Markdown docs into embedding-ready chunks" task via API.