Pinecone & Qdrant Vector Database Sync for RAG
Pricing
from $0.18 / 1,000 chunk upserteds
Load any Apify dataset, like Website Content Crawler pages, into a Pinecone or Qdrant vector database for RAG. Chunks text, embeds with your own OpenAI or Cohere key, and re-embeds only new or changed chunks on later runs, deleting stale ones. $0.18 per 1,000 chunks upserted; unchanged chunks free.
You can access the Pinecone & Qdrant Vector Database Sync for RAG programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {11 "textFields": [12 "text"13 ],14 "metadataFields": [15 "url",16 "metadata.title"17 ]18};19
20// Run the Actor and wait for it to finish21const run = await client.actor("charlesmarkette/vector-db-sync-pinecone-qdrant-rag-loader-delta-updates").call(input);22
23// Fetch and print Actor results from the run's dataset (if any)24console.log('Results from dataset');25console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);26const { items } = await client.dataset(run.defaultDatasetId).listItems();27items.forEach((item) => {28 console.dir(item);29});30
31// 📚 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 Pinecone & Qdrant Vector Database Sync for RAG API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include: