import { createClient } from 'embedbase-js'
// initialize client
const embedbase = createClient(
  'https://api.embedbase.xyz',
  '<grab me here https://app.embedbase.xyz/>'
)
 
const question =
  'im looking for a nice pant that is comfortable and i can both use for work and for climbing'
 
// search for information in a pre-defined dataset and returns the most relevant data
const searchResults = await embedbase.dataset('product-ads').search(question)
 
// transform the results into a string so they can be easily used inside a prompt
const stringifiedSearchResults = searchResults
  .map(result => result.data)
  .join('')
 
const answer = await embedbase
  .useModel('openai/gpt-3.5-turbo')
  .generateText(`${stringifiedSearchResults} ${question}`)
 
console.log(answer) // 'I suggest considering harem pants for your needs. Harem pants are known for their ...'