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WCC Pinecone Integration
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View all Actors![WCC Pinecone Integration](https://images.apifyusercontent.com/idvpNjpMlE3wkxmA1Rf_Xia58XlQavfebZYdYhDe9Jk/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZjNmMEo5ekNhTUEwa2VtZHgvd1YwUnR5dG9vVzlGb2JoRnYtV0NDX1BpbmVjb25lX0ludGVncmF0aW9uLnBuZw.webp)
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WCC Pinecone Integration
tri_angle/wcc-pinecone-integration
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Crawl any website and store its content in your Pinecone vector database. Enhance the accuracy and reliability of your own AI Assistant with facts fetched from external sources or connect this integration to our Pinecone GPT Chatbot assistant available in Apify Store.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4const client = new ApifyClient({
5 token: '<YOUR_API_TOKEN>',
6});
7
8// Prepare Actor input
9const input = {
10 "url": "https://docs.apify.com/",
11 "crawlerType": "playwright:adaptive",
12 "includeUrlGlobs": [],
13 "excludeUrlGlobs": [],
14 "initialCookies": [],
15 "proxyConfiguration": {
16 "useApifyProxy": true
17 },
18 "removeElementsCssSelector": "nav, footer, script, style, noscript, svg,\n[role=\"alert\"],\n[role=\"banner\"],\n[role=\"dialog\"],\n[role=\"alertdialog\"],\n[role=\"region\"][aria-label*=\"skip\" i],\n[aria-modal=\"true\"]",
19 "clickElementsCssSelector": "[aria-expanded=\"false\"]"
20};
21
22(async () => {
23 // Run the Actor and wait for it to finish
24 const run = await client.actor("tri_angle/wcc-pinecone-integration").call(input);
25
26 // Fetch and print Actor results from the run's dataset (if any)
27 console.log('Results from dataset');
28 console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
29 const { items } = await client.dataset(run.defaultDatasetId).listItems();
30 items.forEach((item) => {
31 console.dir(item);
32 });
33})();
34
35// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
Developer
Maintained by Apify
Actor metrics
- 2 monthly users
- 1 star
- 100.0% runs succeeded
- Created in May 2024
- Modified 24 days ago
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