Created
June 2, 2023 16:46
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// 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 * as vectordb from 'vectordb'; | |
type Data = {vector: number[], id: string, content: string, longId: string } | |
async function example () { | |
const db = await vectordb.connect('data/sample-lancedb') | |
let data: Data[] = [ | |
{ vector: Array(1536).fill(1.2), id: '1', content: "", longId: "1" }, | |
] | |
const table = await db.createTable('vectors', data) | |
for (let i = 0; i < 10; i++) { | |
console.log(`Batch ${i}`) | |
let data: Data[] = [] | |
for (let j = 0; j < 100_000; j++) { | |
data.push({vector: Array(1536).fill(i * j), id: `${j}`, content: "", longId: `${j}`},) | |
} | |
await table.add(data) | |
} | |
const results = await table | |
.search(Array(1536).fill(1.2)) | |
.limit(20) | |
.execute() | |
console.log(results) | |
} | |
example().then(_ => { console.log ("All done!") }) |
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