Chunk pasted Markdown for Pinecone or Qdrant

Created by

CodePoetry

Actor

Markdown RAG Chunker: Document Text Splitter

Paste Markdown (here, a help-center FAQ) and get one chunk per section with its header path, an embedding_text field, and a chunk_id scoped by source_id, so re-runs upsert instead of duplicating vectors.

Try for free

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

Chunk index

Header path

Token count

Content

+2 fields

Input

Markdown text:# Acme Cloud Help Center ## Billing ### How am I charged? Acme Cloud bills monthly for the resources you use. Compute is metered per second, storage per GB-month, and egress per GB. ### Can I set a spending limit? Yes. Open Settings > Billing and set a monthly cap. Workloads pause when the cap is reached, and you get an email at 80% and 100%. ## Accounts ### How do I reset my password? Click Forgot password on the sign-in page. The reset link expires after 30 minutes. ### Can I enable two-factor authentication? Yes. Go to Settings > Security and scan the QR code with any TOTP app. Keep the recovery codes somewhere safe. ## Data ### Where is my data stored? In the region you pick when creating a project. Data never leaves that region unless you set up replication.

Source ID:https://help.acme.example/faq

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 "Chunk pasted Markdown for Pinecone or Qdrant". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Chunk pasted Markdown for Pinecone or Qdrant" 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 markdown text and source id, to match your specific use case.

Receive the "Chunk pasted Markdown for Pinecone or Qdrant" 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 "Chunk pasted Markdown for Pinecone or Qdrant" task via API.