Text Splitter & Chunker for RAG / LLM Embeddings
Pricing
from $0.0001 / chunk created
Split long text into clean overlapping chunks for RAG, vector embeddings and LLM pipelines. Recursive boundary-aware or fixed-size splitting, by characters, words or approx tokens, with adjustable overlap. Each chunk includes char/word/token counts and offset. Output JSON, CSV or Excel.
You can access the Text Splitter & Chunker for RAG / LLM Embeddings 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.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {11 "text": "Apify is a cloud platform for web scraping and browser automation. Developers build Actors that extract structured data from websites, monitor prices, and feed machine learning pipelines. In 2024 the company expanded its Store with thousands of ready-made tools used by businesses in Europe, North America and Asia.Apify is a cloud platform for web scraping and browser automation. Developers build Actors that extract structured data from websites, monitor prices, and feed machine learning pipelines. In 2024 the company expanded its Store with thousands of ready-made tools used by businesses in Europe, North America and Asia.Apify is a cloud platform for web scraping and browser automation. Developers build Actors that extract structured data from websites, monitor prices, and feed machine learning pipelines. In 2024 the company expanded its Store with thousands of ready-made tools used by businesses in Europe, North America and Asia.",12 "texts": []13};14
15// Run the Actor and wait for it to finish16const run = await client.actor("hipersoft/text-splitter-chunker").call(input);17
18// Fetch and print Actor results from the run's dataset (if any)19console.log('Results from dataset');20console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);21const { items } = await client.dataset(run.defaultDatasetId).listItems();22items.forEach((item) => {23 console.dir(item);24});25
26// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsThe Apify API client for JavaScript is the official library that allows you to use Text Splitter & Chunker for RAG / LLM Embeddings API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include: