Markdown Chunker for RAG - Heading-Aware Text Splitter
Pricing
from $0.10 / 1,000 chunk createds
Split Markdown into chunks for RAG, vector databases and AI search. Keeps code blocks and tables whole. Each chunk has its heading path and line numbers. $0.0001 per chunk.
You can access the Markdown Chunker for RAG - Heading-Aware Text Splitter programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "markdownText": """# Guide9
10Hello.11
12## Install13
14```bash15pip install tool16```17
18## Use19
20| a | b |21|---|---|22| 1 | 2 |23""" }24
25# Run the Actor and wait for it to finish26run = client.actor("tidybytetools/markdown-rag-chunker").call(run_input=run_input)27
28# Fetch and print Actor results from the run's dataset (if there are any)29print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")30for item in client.dataset(run.default_dataset_id).iterate_items():31 print(item)32
33# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Markdown Chunker for RAG - Heading-Aware Text Splitter API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: