Files
lancedb/node/src/test/embedding/openai.ts
gsilvestrin 3e14b357e7 add openai embedding function to nodejs client (#107)
- openai is an optional dependency for lancedb
- added an example to show how to use it
2023-06-01 10:25:00 -07:00

51 lines
1.7 KiB
TypeScript

// Copyright 2023 Lance Developers.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import { describe } from 'mocha'
import { assert } from 'chai'
import { OpenAIEmbeddingFunction } from '../../embedding/openai'
// eslint-disable-next-line @typescript-eslint/no-var-requires
const { OpenAIApi } = require('openai')
// eslint-disable-next-line @typescript-eslint/no-var-requires
const { stub } = require('sinon')
describe('OpenAPIEmbeddings', function () {
const stubValue = {
data: {
data: [
{
embedding: Array(1536).fill(1.0)
},
{
embedding: Array(1536).fill(2.0)
}
]
}
}
describe('#embed', function () {
it('should create vector embeddings', async function () {
const openAIStub = stub(OpenAIApi.prototype, 'createEmbedding').returns(stubValue)
const f = new OpenAIEmbeddingFunction('text', 'sk-key')
const vectors = await f.embed(['abc', 'def'])
assert.isTrue(openAIStub.calledOnce)
assert.equal(vectors.length, 2)
assert.deepEqual(vectors[0], stubValue.data.data[0].embedding)
assert.deepEqual(vectors[1], stubValue.data.data[1].embedding)
})
})
})