Data Extraction
Data extraction allows you to parse unstructured text and extract structured data using AI. This is useful for converting free-form text into typed objects that can be used in your application.
The following example shows how to extract product details from an unstructured product description. The AI model will analyze the text and return a structured object containing the product name, summary, price, and category.
amplify/data/resource.ts
const schema = a.schema({ ProductDetails: a.customType({ name: a.string().required(), summary: a.string().required(), price: a.float().required(), category: a.string().required(), }),
extractProductDetails: a.generation({ aiModel: a.ai.model('Claude 3.5 Haiku'), systemPrompt: 'Extract the property details from the text provided', }) .arguments({ productDescription: a.string() }) .returns(a.ref('ProductDetails')) .authorization((allow) => allow.authenticated()),});
src/components/Example.tsx
import type { Schema } from "../amplify/data/resource";import { generateClient } from "aws-amplify/api";import { createAIHooks } from "@aws-amplify/ui-react-ai";
const client = generateClient<Schema>({ authMode: "userPool" });const { useAIGeneration } = createAIHooks(client);
export default function Example() { const productDescription = `The NBA Official Game Basketball is a premium regulation-size basketball crafted with genuine leather and featuring official NBA specifications. This professional-grade ball offers superior grip and durability, with deep channels and a moisture-wicking surface that ensures consistent performance during intense game play. Priced at $159.99, this high-end basketball belongs in our Professional Sports Equipment category and is the same model used in NBA games.`
// data is React state and will be populated when the generation is returned const [{ data, isLoading }, extractProductDetails] = useAIGeneration("extractProductDetails");
const productDetails = async () => { extractProductDetails({ productDescription }); };}