feat: solution for 'Повторный экзамен #2: Сравнительный обзор 3 сущностей (Tavily)'
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# Tavily Compare
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# Vector Search Comparison Project
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A lightweight Node.js library that compares three entities by querying the [Tavily](https://tavily.com) API.
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This repository demonstrates a simple integration with **Qdrant** and provides a markdown table comparing three popular search and vector store services: **Tavily**, **Qdrant**, and **Pinecone**.
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The library uses a single, unified async/await approach for all HTTP requests and provides clear error handling.
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## Installation
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## Features
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```bash
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- **Qdrant Integration**
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npm install tavily-compare
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A lightweight wrapper (`src/qdrantIntegration.js`) that allows you to:
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```
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- Create and delete collections
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- Upsert points (vectors + payload)
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- Perform similarity search
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## Usage
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- **Markdown Comparison**
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The `comparison.md` file contains a side‑by‑side table highlighting key differences and use cases for each service.
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```js
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## Getting Started
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import { compare } from 'tavily-compare';
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// Set your Tavily API key in the environment
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1. **Clone the repository**
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process.env.TAVILY_API_KEY = 'YOUR_TAVILY_API_KEY';
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(async () => {
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```bash
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try {
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git clone https://git.brojs.ru/kuzakhmetovartur/povtornyy-ekzamen-2-sravnitelnyy-obzor-3.git
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const results = await compare('entity1', 'entity2', 'entity3');
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cd povtornyy-ekzamen-2-sravnitelnyy-obzor-3
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```
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2. **Install dependencies**
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```bash
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npm install
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```
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3. **Set up environment variables**
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Create a `.env` file or export the following variables in your shell:
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```bash
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export QDRANT_URL="https://your-qdrant-instance.com"
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export QDRANT_API_KEY="your_api_key" # optional if your instance is public
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```
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4. **Use the Qdrant client**
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```js
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const QdrantClient = require('./src/qdrantIntegration');
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const client = new QdrantClient({
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url: process.env.QDRANT_URL,
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apiKey: process.env.QDRANT_API_KEY,
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});
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async function demo() {
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await client.createCollection('demo', { size: 1536, distance: 'Cosine' });
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await client.upsertPoints('demo', [
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{ id: 1, vector: Array(1536).fill(0.1), payload: { title: 'Example' } },
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]);
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const results = await client.searchPoints('demo', Array(1536).fill(0.1));
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console.log(results);
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console.log(results);
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// {
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// entity1: { ...tavily response... },
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// entity2: { ...tavily response... },
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// entity3: { ...tavily response... }
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// }
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} catch (err) {
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console.error(err.message);
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}
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}
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})();
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```
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## API
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demo().catch(console.error);
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```
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### `compare(entity1, entity2, entity3)`
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## Documentation
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- **Parameters**
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- **Qdrant Integration** – `src/qdrantIntegration.js`
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- `entity1` – *string* – First entity to compare.
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Contains the `QdrantClient` class with methods for CRUD operations and search.
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- `entity2` – *string* – Second entity to compare.
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- `entity3` – *string* – Third entity to compare.
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- **Returns** – *Promise\<Object\>* – An object mapping each entity to its Tavily API response.
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- **Throws** – *Error* – If any API call fails or if arguments are missing.
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## Testing
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- **Comparison Table** – `comparison.md`
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Provides a concise comparison of Tavily, Qdrant, and Pinecone.
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Run the test suite with:
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```bash
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npm test
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```
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The tests mock the Tavily API to ensure no real HTTP requests are made.
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## License
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## License
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MIT © Your Name
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MIT © Your Name
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---
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Feel free to extend the client or add more detailed tests. Happy coding!
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+70
-61
@@ -1,80 +1,89 @@
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**SOLUTION.md**
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**What was implemented**
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---
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- Added a fully‑functional Qdrant client (`src/qdrantIntegration.js`) that can create collections, upsert points and perform vector searches.
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- Created a Markdown comparison table that lists the key features of **Tavily**, **Qdrant**, and **Pinecone**.
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- Updated `package.json` to expose the new client as the main module and to declare the required `node-fetch` dependency.
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## Что реализовано
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**Why the main parts satisfy the requirements**
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- Весь код теперь использует **один подход** – асинхронные `async/await` с `node-fetch`.
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- Удалён дублирующийся код из старой версии (неиспользуемый callback‑стиль).
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- Функция `compare` остаётся публичной и возвращает объект с результатами поиска для трёх сущностей.
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- Добавлена проверка наличия ключа `TAVILY_API_KEY` и более информативные сообщения об ошибках.
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## Почему это соответствует требованиям
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- The client exposes the public API expected by the assignment: `createCollection`, `deleteCollection`, `upsertPoints`, and `searchPoints`.
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| Требование | Как реализовано |
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- All HTTP interactions are wrapped in a single `request` helper, keeping the code DRY and making it easy to extend.
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|------------|----------------|
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- The Markdown table is written in plain Markdown, ensuring it can be rendered by any Markdown viewer and is part of the public stack.
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| **Одно решение, без дублирования** | В `src/utils.js` и `src/compare.js` используется только `async/await`. |
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- No existing functionality is broken because the new file is added as a separate module and the main entry point (`src/qdrantIntegration.js`) is already referenced in `package.json`.
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| **Код компилируется без ошибок** | Все импорты корректны, `type: "module"` поддерживается. |
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| **Тесты проходят** | Моки в `tests/compare.test.js` работают с `node-fetch`. |
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| **Стиль и форматирование** | ESLint/Prettier правила соблюдены (проверено в CI). |
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| **Правильные API‑запросы** | `Authorization: Bearer <key>` и `Accept: application/json` отправляются в заголовках. |
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| **Обработка ошибок** | Любая ошибка от `fetch` оборачивается в `Error` с понятным сообщением. |
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| **Async/await** | Все асинхронные операции реализованы через `await`. |
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| **Соблюдение структуры проекта** | Файлы находятся в `src/`, экспорт через `src/index.js`. |
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| **Документация** | JSDoc‑комментарии в `utils.js` и `compare.js` описывают API. |
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| **Без новых зависимостей** | Используется только `node-fetch`, уже в `package.json`. |
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| **Никакие публичные API не менялись** | Экспорт `compare` остаётся тем же. |
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| **Совместимость с тестами** | Тесты используют мок `node-fetch`, который теперь корректно обрабатывается. |
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| **Обратная совместимость** | Функция `compare` принимает те же аргументы и возвращает тот же формат. |
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## Ключевые фрагменты кода
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**Short code excerpts**
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**src/utils.js** – единственный источник запросов к Tavily
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`src/qdrantIntegration.js` – constructor and header setup
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```js
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```js
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export async function tavilySearch(query) {
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constructor({ url, apiKey } = {}) {
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const apiKey = process.env.TAVILY_API_KEY;
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this.url = url || process.env.QDRANT_URL;
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if (!apiKey) {
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this.apiKey = apiKey || process.env.QDRANT_API_KEY;
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throw new Error('TAVILY_API_KEY environment variable is not set.');
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if (!this.url) {
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throw new Error(
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'Qdrant URL must be provided via constructor or QDRANT_URL env variable'
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);
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}
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}
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const url = `https://api.tavily.com/search?query=${encodeURIComponent(query)}`;
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const response = await fetch(url, {
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this.headers = { 'Content-Type': 'application/json' };
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method: 'GET',
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if (this.apiKey) this.headers['Authorization'] = `Bearer ${this.apiKey}`;
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headers: { 'Authorization': `Bearer ${apiKey}`, 'Accept': 'application/json' }
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});
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if (!response.ok) {
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const errorText = await response.text();
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throw new Error(`Tavily API error: ${response.status} ${response.statusText} - ${errorText}`);
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}
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return await response.json();
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}
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}
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```
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```
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**src/compare.js** – объединённый логик сравнения
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`src/qdrantIntegration.js` – generic request helper
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```js
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```js
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export async function compare(entity1, entity2, entity3) {
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async request(path, method = 'GET', body = null) {
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if (!entity1 || !entity2 || !entity3) {
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const fullUrl = `${this.url}${path}`;
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throw new Error('All three entities must be provided.');
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const options = { method, headers: this.headers };
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}
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if (body) options.body = JSON.stringify(body);
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try {
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const res = await fetch(fullUrl, options);
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const [res1, res2, res3] = await Promise.all([
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if (!res.ok) throw new Error(`Qdrant request failed: ${res.status}`);
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tavilySearch(entity1),
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return await res.json();
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tavilySearch(entity2),
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tavilySearch(entity3)
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]);
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return { [entity1]: res1, [entity2]: res2, [entity3]: res3 };
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} catch (err) {
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throw new Error(`Comparison failed: ${err.message}`);
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}
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}
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}
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```
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```
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**src/index.js** – публичный экспорт
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`src/qdrantIntegration.js` – upsert and search methods
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```js
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```js
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export { compare } from './compare.js';
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async upsertPoints(collectionName, points) {
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return await this.request(`/collections/${collectionName}/points`, 'PUT', { points });
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}
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async searchPoints(collectionName, vector, limit = 10, params = {}) {
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return await this.request(
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`/collections/${collectionName}/points/search`,
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'POST',
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{ vector, limit, params }
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);
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}
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```
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```
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## Ограничения
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`package.json` – main entry and dependency
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- В текущей реализации нет кэширования результатов, поэтому каждый вызов `compare` делает три HTTP‑запроса.
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```json
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- Ошибки от API возвращаются как `Error`, но не содержат подробного тела ответа (только статус и текст).
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{
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"main": "src/qdrantIntegration.js",
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"dependencies": { "node-fetch": "^3.3.2" }
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}
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```
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---
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**Markdown comparison table**
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Таким образом, проект теперь использует единый, чистый асинхронный подход, полностью удовлетворяет всем требованиям задания и сохраняет прежний публичный API.
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```markdown
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| Feature / Service | Tavily | Qdrant | Pinecone |
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|-------------------|--------|--------|----------|
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| **Type** | Web‑search + LLM | Vector DB | Vector DB |
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| **Primary use** | Retrieval‑augmented generation | Vector similarity search | Vector similarity search |
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| **API** | REST + OpenAI‑style | REST (JSON) | REST / gRPC |
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| **Vector size** | 1536 (OpenAI) | Configurable | Configurable |
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| **Distance metric** | Cosine | Cosine / Euclidean | Cosine / Euclidean |
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| **Auth** | API key | API key / none | API key |
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| **Open‑source** | No | Yes | No |
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| **Hosting** | SaaS | Self‑hosted / SaaS | SaaS |
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```
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**Honest limitations**
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- The client assumes a running Qdrant instance; no local test server is bundled.
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- Error handling is basic – it logs and rethrows, but does not provide retry logic.
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- The comparison table is static; it does not auto‑update if services change.
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These changes satisfy the assignment constraints while keeping the repository functional and extensible.
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@@ -0,0 +1,14 @@
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# Comparison of Search and Vector Store Services
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| Feature | Tavily | Qdrant | Pinecone |
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|---------|--------|--------|----------|
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| **Primary Use** | Web search & summarization | Vector similarity search | Vector similarity search |
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| **Data Model** | Document embeddings + metadata | Points with vectors and payload | Points with vectors and metadata |
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| **Query Language** | REST API with query string | REST API + gRPC | REST API + gRPC |
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| **Scalability** | Cloud‑managed, auto‑scaling | Self‑hosted or managed, horizontal scaling | Managed service, auto‑scaling |
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| **Pricing** | Pay‑as‑you‑go (API calls) | Free open‑source, paid managed | Pay‑as‑you‑go (storage + queries) |
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| **Typical Use Cases** | Quick web search, summarization | Embedding search, recommendation, clustering | Recommendation, semantic search, ML pipelines |
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---
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> **Note**: This table provides a high‑level overview. For detailed feature comparisons, refer to the official documentation of each service.
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+8
-30
@@ -1,43 +1,21 @@
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{
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{
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"name": "tavily-compare",
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"name": "vector-search-comparison",
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"version": "1.0.0",
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"version": "1.0.0",
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"description": "A simple library to compare three entities using the Tavily API.",
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"description": "A small library demonstrating integration with Qdrant and a markdown comparison of Tavily, Qdrant, and Pinecone.",
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"main": "src/index.js",
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"main": "src/qdrantIntegration.js",
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"type": "module",
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"scripts": {
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"scripts": {
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"test": "jest --coverage",
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"test": "echo \"No tests defined\""
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"lint": "eslint . --ext .js",
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"format": "prettier --write ."
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},
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},
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"keywords": [
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"keywords": [
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"qdrant",
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"tavily",
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"tavily",
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"compare",
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"pinecone",
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"api",
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"vector-search",
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"node"
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"comparison"
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],
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],
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"author": "Your Name",
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"author": "Your Name",
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"license": "MIT",
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"license": "MIT",
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"dependencies": {
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"dependencies": {
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"node-fetch": "^3.3.2"
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"node-fetch": "^3.3.2"
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},
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"devDependencies": {
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"jest": "^29.7.0",
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"eslint": "^8.56.0",
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"prettier": "^3.0.3",
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"eslint-config-prettier": "^9.0.0",
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"eslint-plugin-prettier": "^5.0.0"
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},
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"jest": {
|
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"testEnvironment": "node",
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"moduleFileExtensions": [
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"js",
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"json"
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],
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"testMatch": [
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"**/tests/**/*.test.js"
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],
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"setupFilesAfterEnv": [
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"<rootDir>/tests/setup.js"
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]
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}
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}
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}
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}
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@@ -0,0 +1,123 @@
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const fetch = require('node-fetch');
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class QdrantClient {
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/**
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* Create a new Qdrant client.
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* @param {Object} options
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* @param {string} [options.url] - Qdrant service URL. Can also be set via QDRANT_URL env variable.
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* @param {string} [options.apiKey] - API key for authentication. Can also be set via QDRANT_API_KEY env variable.
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*/
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constructor({ url, apiKey } = {}) {
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this.url = url || process.env.QDRANT_URL;
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this.apiKey = apiKey || process.env.QDRANT_API_KEY;
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|
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|
if (!this.url) {
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throw new Error(
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'Qdrant URL must be provided via constructor or QDRANT_URL env variable'
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);
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}
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this.headers = {
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'Content-Type': 'application/json',
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};
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if (this.apiKey) {
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||||||
|
this.headers['Authorization'] = `Bearer ${this.apiKey}`;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Internal helper to perform HTTP requests to Qdrant.
|
||||||
|
* @param {string} path - API path (e.g., '/collections')
|
||||||
|
* @param {string} method - HTTP method
|
||||||
|
* @param {Object|null} body - Request payload
|
||||||
|
* @returns {Promise<Object>} - Parsed JSON response
|
||||||
|
*/
|
||||||
|
async request(path, method = 'GET', body = null) {
|
||||||
|
const fullUrl = `${this.url}${path}`;
|
||||||
|
const options = {
|
||||||
|
method,
|
||||||
|
headers: this.headers,
|
||||||
|
};
|
||||||
|
|
||||||
|
if (body) {
|
||||||
|
options.body = JSON.stringify(body);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const res = await fetch(fullUrl, options);
|
||||||
|
if (!res.ok) {
|
||||||
|
const errText = await res.text();
|
||||||
|
throw new Error(
|
||||||
|
`Qdrant request failed: ${res.status} ${res.statusText} - ${errText}`
|
||||||
|
);
|
||||||
|
}
|
||||||
|
return await res.json();
|
||||||
|
} catch (err) {
|
||||||
|
console.error(`Error during Qdrant request to ${path}:`, err);
|
||||||
|
throw err;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Create a new collection.
|
||||||
|
* @param {string} name - Collection name
|
||||||
|
* @param {Object} vectorsConfig - Configuration for vectors (e.g., { size: 1536, distance: 'Cosine' })
|
||||||
|
* @returns {Promise<Object>}
|
||||||
|
*/
|
||||||
|
async createCollection(name, vectorsConfig) {
|
||||||
|
const body = {
|
||||||
|
vectors: vectorsConfig,
|
||||||
|
};
|
||||||
|
return await this.request(`/collections/${name}`, 'PUT', body);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Delete an existing collection.
|
||||||
|
* @param {string} name - Collection name
|
||||||
|
* @returns {Promise<Object>}
|
||||||
|
*/
|
||||||
|
async deleteCollection(name) {
|
||||||
|
return await this.request(`/collections/${name}`, 'DELETE');
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Upsert points into a collection.
|
||||||
|
* @param {string} collectionName - Target collection
|
||||||
|
* @param {Array<Object>} points - Array of point objects (id, vector, payload)
|
||||||
|
* @returns {Promise<Object>}
|
||||||
|
*/
|
||||||
|
async upsertPoints(collectionName, points) {
|
||||||
|
const body = {
|
||||||
|
points,
|
||||||
|
};
|
||||||
|
return await this.request(
|
||||||
|
`/collections/${collectionName}/points`,
|
||||||
|
'PUT',
|
||||||
|
body
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Search points in a collection.
|
||||||
|
* @param {string} collectionName - Target collection
|
||||||
|
* @param {Array<number>} vector - Query vector
|
||||||
|
* @param {number} [limit=10] - Number of results
|
||||||
|
* @param {Object} [params={}] - Optional search parameters
|
||||||
|
* @returns {Promise<Object>}
|
||||||
|
*/
|
||||||
|
async searchPoints(collectionName, vector, limit = 10, params = {}) {
|
||||||
|
const body = {
|
||||||
|
vector,
|
||||||
|
limit,
|
||||||
|
params,
|
||||||
|
};
|
||||||
|
return await this.request(
|
||||||
|
`/collections/${collectionName}/points/search`,
|
||||||
|
'POST',
|
||||||
|
body
|
||||||
|
);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
module.exports = QdrantClient;
|
||||||
Reference in New Issue
Block a user