Metadata-Version: 2.2
Name: zvec
Version: 0.3.0
Summary: A high-performance vector database engine with native C++ backend and Python bindings
Keywords: vector-database,ann,nearest-neighbor
Author-Email: zvec <zvec@alibaba-inc.com>
Maintainer-Email: Zvec Core Team <zvec@alibaba-inc.com>
License: Apache-2.0
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Database
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Project-URL: Homepage, https://github.com/alibaba/zvec
Project-URL: Repository, https://github.com/alibaba/zvec
Project-URL: Bug Tracker, https://github.com/alibaba/zvec/issues
Project-URL: Documentation, https://zvec.org
Requires-Python: >=3.9
Requires-Dist: numpy>=1.23
Provides-Extra: test
Requires-Dist: pytest>=8.0; extra == "test"
Requires-Dist: pytest-cov>=4.1; extra == "test"
Requires-Dist: pytest-mock>=3.12; extra == "test"
Requires-Dist: cibuildwheel==3.4.0; extra == "test"
Provides-Extra: docs
Requires-Dist: mkdocs>=1.5; extra == "docs"
Requires-Dist: mkdocs-material>=9.5; extra == "docs"
Requires-Dist: mkdocstrings[python]>=0.24; extra == "docs"
Provides-Extra: dev
Requires-Dist: ruff>=0.4; extra == "dev"
Requires-Dist: black>=24.0; extra == "dev"
Requires-Dist: mypy>=1.8; extra == "dev"
Requires-Dist: pre-commit>=3.6; extra == "dev"
Requires-Dist: build>=1.0; extra == "dev"
Requires-Dist: twine>=4.0; extra == "dev"
Requires-Dist: numpy>=1.23; extra == "dev"
Requires-Dist: pytest>=8.0; extra == "dev"
Requires-Dist: pytest-cov>=4.1; extra == "dev"
Requires-Dist: pytest-mock>=3.12; extra == "dev"
Requires-Dist: cibuildwheel==3.4.0; extra == "dev"
Requires-Dist: mkdocs>=1.5; extra == "dev"
Requires-Dist: mkdocs-material>=9.5; extra == "dev"
Requires-Dist: mkdocstrings[python]>=0.24; extra == "dev"
Requires-Dist: pybind11-stubgen>=2.5.5; extra == "dev"
Requires-Dist: pybind11>=3.0; extra == "dev"
Description-Content-Type: text/markdown

<div align="center">
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="https://zvec.oss-cn-hongkong.aliyuncs.com/logo/github_log_2.svg" />
    <img src="https://zvec.oss-cn-hongkong.aliyuncs.com/logo/github_logo_1.svg" width="400" alt="zvec logo" />
  </picture>
</div>

<p align="center">
  <a href="https://codecov.io/github/alibaba/zvec"><img src="https://codecov.io/github/alibaba/zvec/graph/badge.svg?token=O81CT45B66" alt="Code Coverage"/></a>
  <a href="https://github.com/alibaba/zvec/actions/workflows/01-ci-pipeline.yml"><img src="https://github.com/alibaba/zvec/actions/workflows/01-ci-pipeline.yml/badge.svg?branch=main" alt="Main"/></a>
  <a href="https://github.com/alibaba/zvec/blob/main/LICENSE"><img src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" alt="License"/></a>
  <a href="https://pypi.org/project/zvec/"><img src="https://img.shields.io/pypi/v/zvec.svg" alt="PyPI Release"/></a>
  <a href="https://pypi.org/project/zvec/"><img src="https://img.shields.io/badge/python-3.10%20~%203.14-blue.svg" alt="Python Versions"/></a>
  <a href="https://www.npmjs.com/package/@zvec/zvec"><img src="https://img.shields.io/npm/v/@zvec/zvec.svg" alt="npm Release"/></a>
</p>

<p align="center">
  <a href="https://trendshift.io/repositories/20830" target="_blank"><img src="https://trendshift.io/api/badge/repositories/20830" alt="alibaba%2Fzvec | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>

<p align="center">
  <a href="https://zvec.org/en/docs/quickstart/">🚀 <strong>Quickstart</strong> </a> |
  <a href="https://zvec.org/en/">🏠 <strong>Home</strong> </a> |
  <a href="https://zvec.org/en/docs/">📚 <strong>Docs</strong> </a> |
  <a href="https://zvec.org/en/docs/benchmarks/">📊 <strong>Benchmarks</strong> </a> |
  <a href="https://deepwiki.com/alibaba/zvec">🔎 <strong>DeepWiki</strong> </a> |
  <a href="https://discord.gg/rKddFBBu9z">🎮 <strong>Discord</strong> </a> |
  <a href="https://x.com/ZvecAI">🐦 <strong>X (Twitter)</strong> </a>
</p>

**Zvec** is an open-source, in-process vector database — lightweight, lightning-fast, and designed to embed directly into applications. Built on **Proxima** (Alibaba's battle-tested vector search engine), it delivers production-grade, low-latency, scalable similarity search with minimal setup.

## 💫 Features

- **Blazing Fast**: Searches billions of vectors in milliseconds.
- **Simple, Just Works**: [Install](#-installation) and start searching in seconds. No servers, no config, no fuss.
- **Dense + Sparse Vectors**: Work with both dense and sparse embeddings, with native support for multi-vector queries in a single call.
- **Hybrid Search**: Combine semantic similarity with structured filters for precise results.
- **Runs Anywhere**: As an in-process library, Zvec runs wherever your code runs — notebooks, servers, CLI tools, or even edge devices.

## 📦 Installation

### [Python](https://pypi.org/project/zvec/)

**Requirements**: Python 3.10 - 3.14

```bash
pip install zvec
```

### [Node.js](https://www.npmjs.com/package/@zvec/zvec)

```bash
npm install @zvec/zvec
```

### ✅ Supported Platforms

- Linux (x86_64, ARM64)
- macOS (ARM64)

### 🛠️ Building from Source

If you prefer to build Zvec from source, please check the [Building from Source](https://zvec.org/en/docs/build/) guide.

## ⚡ One-Minute Example

```python
import zvec

# Define collection schema
schema = zvec.CollectionSchema(
    name="example",
    vectors=zvec.VectorSchema("embedding", zvec.DataType.VECTOR_FP32, 4),
)

# Create collection
collection = zvec.create_and_open(path="./zvec_example", schema=schema)

# Insert documents
collection.insert([
    zvec.Doc(id="doc_1", vectors={"embedding": [0.1, 0.2, 0.3, 0.4]}),
    zvec.Doc(id="doc_2", vectors={"embedding": [0.2, 0.3, 0.4, 0.1]}),
])

# Search by vector similarity
results = collection.query(
    zvec.VectorQuery("embedding", vector=[0.4, 0.3, 0.3, 0.1]),
    topk=10
)

# Results: list of {'id': str, 'score': float, ...}, sorted by relevance
print(results)
```

## 📈 Performance at Scale

Zvec delivers exceptional speed and efficiency, making it ideal for demanding production workloads.

<img src="https://zvec.oss-cn-hongkong.aliyuncs.com/qps_10M.svg" width="800" alt="Zvec Performance Benchmarks" />

For detailed benchmark methodology, configurations, and complete results, please see our [Benchmarks documentation](https://zvec.org/en/docs/benchmarks/).

## 🤝 Join Our Community

<div align="center">

Stay updated and get support — scan or click:

<div align="center">

| 💬 DingTalk | 📱 WeChat | 🎮 Discord | X (Twitter) |
| :---: | :---: | :---: | :---: |
| <img src="https://zvec.oss-cn-hongkong.aliyuncs.com/qrcode/dingding.png" width="150" alt="DingTalk QR Code"/> | <img src="https://zvec.oss-cn-hongkong.aliyuncs.com/qrcode/wechat.png?v=4" width="150" alt="WeChat QR Code"/> | [![Discord](https://img.shields.io/badge/Discord-Join%20Server-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/rKddFBBu9z) | [![X (formerly Twitter) Follow](https://img.shields.io/twitter/follow/ZvecAI)](<https://x.com/ZvecAI>) |
| Scan to join | Scan to join | Click to join | Click to follow |

</div>

</div>

## ❤️ Contributing

We welcome and appreciate contributions from the community! Whether you're fixing a bug, adding a feature, or improving documentation, your help makes Zvec better for everyone.

Check out our [Contributing Guide](./CONTRIBUTING.md) to get started!
