RAG Corpus Quality Auditor
Pricing
$15.00 / 1,000 returned dataset rows
Go to Apify Store
RAG Corpus Quality Auditor
Score web pages for RAG corpus quality: text length, heading structure, boilerplate hints, token estimate, metadata, and warnings.
RAG Corpus Quality Auditor
Pricing
$15.00 / 1,000 returned dataset rows
Score web pages for RAG corpus quality: text length, heading structure, boilerplate hints, token estimate, metadata, and warnings.
You can access the RAG Corpus Quality Auditor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {};11
12// Run the Actor and wait for it to finish13const run = await client.actor("civicdataworks/rag-corpus-quality-auditor").call(input);14
15// Fetch and print Actor results from the run's dataset (if any)16console.log('Results from dataset');17console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);18const { items } = await client.dataset(run.defaultDatasetId).listItems();19items.forEach((item) => {20 console.dir(item);21});22
23// 📚 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 RAG Corpus Quality Auditor API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include: