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A simple npm package to perform natural language search on JSON data using OpenAI's GPT-3 API.
You can install the package using npm:
npm install query-gpt
The package exports a function queryGPT that takes 3 compulsory parameters and 2 optional parameters:
queryGPT(jsonData, queryString, apiKey, maxTokens = 2048, chunks = 100)
The parameters are described below:
jsonData: An array of objects that you want to search. Pass only arrays.queryString: The search query string in natural language.apiKey: Your OpenAI API key.maxTokens (optional): The maximum number of characters to generate for each search result. Defaults to 2048.chunks (optional): The number of elements to send in each API request. The default is 100, but you may need to reduce this value if the size of your data is large.Return Type: A promise that resolves to an array of indexes that match the search query.Here's an example usage:
const queryGPT = require('query-gpt');
//or
import queryGPT from 'query-gpt';
const jsonData = [
{ name: 'Alice', age: 25, city: 'New York' },
{ name: 'Bob', age: 30, city: 'San Francisco' },
{ name: 'Charlie', age: 35, city: 'Chicago' }
];
const queryString = 'find people who live in New York';
const openApiKey = 'YOUR_API_KEY';
queryGPT(jsonData, queryString, openApiKey)
.then(results => console.log(results))
.catch(error => console.error(error));
//full usage
queryGPT(jsonData, queryString, openApiKey, 2700, 50)
.then(results => console.log(results))
.catch(error => console.error(error));
//result: [0]
NOTE: If your getting an empty array as result repeatedly
- You might have exceeded your max token of 2048, try increasing max tokens and decreasing chunks
- Please re-verify the Open Apikey that you passed
This package is suitable for small JSON data and may not work well for large datasets.
Contributions are welcome! If you find a bug or have a feature request, please open an issue or submit a pull request.
This package is licensed under the MIT License.
FAQs
Search your json data using natural language
We found that query-gpt demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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