import { index } from './common.ts'
import { BailianChat } from '@kevisual/ai'
const demos = [
  {
    id: 1,
    text: 'This is a test embedding document.',
  },
  {
    id: 2,
    text: 'Another document for embedding storage.',
  },
  {
    id: 3,
    text: 'MeiliSearch is a powerful search engine.',
  }
]

await index.updateEmbedders({
  qwen: {
    source: 'rest',
    apiKey: process.env.BAILIAN_API_KEY,
    url: BailianChat.BASE_URL + '/embeddings',
    request: {
      input: '{{text}}',
      model: 'text-embedding-v4',
    },
    response: {
      data: [
        {
          embedding: '{{embedding}}',
        },
      ],
    }
  },
});
async function run() {
  const response = await index.addDocuments(demos)
  console.log('Documents added:', response)
}
run();