---
title: "milvus"
type: "tool"
slug: "milvus-io-milvus"
canonical_url: "https://www.graphcanon.com/tools/milvus-io-milvus"
github_url: "https://github.com/milvus-io/milvus"
homepage_url: "https://milvus.io"
stars: 45121
forks: 4108
primary_language: "Go"
license: "Apache-2.0"
categories: ["vector-databases"]
tags: ["anns", "distributed", "cloud-native", "embedding-database", "embedding-store", "diskann", "embedding-similarity", "faiss"]
updated_at: "2026-07-07T18:18:25.27046+00:00"
---

# milvus

> High-performance vector database for scalable vector ANN search

Milvus is a cloud-native, high-performance vector database designed to handle large-scale unstructured data efficiently, supporting both CPU/GPU hardware acceleration and real-time streaming updates.

## Facts

- Repository: https://github.com/milvus-io/milvus
- Homepage: https://milvus.io
- Stars: 45,121 · Forks: 4,108 · Open issues: 965 · Watchers: 332
- Primary language: Go
- License: Apache-2.0
- Last pushed: 2026-07-07T16:24:35+00:00

## Categories

- [Vector Databases](/categories/vector-databases.md)

## Tags

anns, distributed, cloud-native, embedding-database, embedding-store, diskann, embedding-similarity, faiss

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## README (excerpt)

```text
<img src="https://github.com/user-attachments/assets/51e33300-7f85-43ff-a05a-3a0317a961f3" alt="milvus banner">

<div class="column" align="middle">
  <a href="https://github.com/milvus-io/milvus/blob/master/LICENSE"><img height="20" src="https://img.shields.io/github/license/milvus-io/milvus" alt="license"/></a>
  <a href="https://milvus.io/docs/install_standalone-docker.md"><img src="https://img.shields.io/docker/pulls/milvusdb/milvus" alt="docker-pull-count"/></a>
  <a href="https://milvus.io/docs/roadmap.md"><img src="https://img.shields.io/badge/2025-roadmap-orange" alt="fully-managed-milvus"/></a>
  <a href="https://cloud.zilliz.com/signup?utm_source=partner&utm_medium=referral&utm_campaign=2024-11-04_web_github-readme_global"><img src="https://img.shields.io/badge/fully_managed-milvus-blue" alt="fully-managed-milvus"/></a>
  <a href="https://milvus.io/docs/tutorials-overview.md"><img src="https://img.shields.io/badge/tutorials-green" alt="tutorials"/></a>
  <a href="https://milvus.io/slack"><img src="https://img.shields.io/badge/Slack-%234A154B.svg?style=flat&logo=slack&logoColor=white" alt="slack"/></a>
  <a href="https://discord.gg/mKc3R95yE5"><img height="20" src="https://img.shields.io/badge/Discord-%235865F2.svg?style=for-the-badge&logo=discord&logoColor=white" alt="discord"/></a>
  <a href="https://x.com/milvusio"><img src="https://img.shields.io/twitter/follow/milvusio" alt="twitter"/></a>
</div>

<div align="center">
<a href="https://trendshift.io/repositories/1026" target="_blank"><img src="https://trendshift.io/api/badge/repositories/1026" alt="milvus-io%2Fmilvus | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</div>

## What is Milvus?

🐦 [Milvus](https://milvus.io/) is a high-performance vector database built for scale. It powers AI applications by efficiently organizing and searching vast amounts of unstructured data, such as text, images, and multi-modal information.

🧑‍💻 Written in Go and C++, Milvus implements hardware acceleration for CPU/GPU to achieve best-in-class vector search performance. Thanks to its [fully-distributed and K8s-native architecture](https://milvus.io/docs/overview.md#What-Makes-Milvus-so-Scalable), Milvus can scale horizontally, handle tens of thousands of search queries on billions of vectors, and keep data fresh with real-time streaming updates. Milvus also supports [Standalone mode](https://milvus.io/docs/install_standalone-docker.md) for single machine deployment. [Milvus Lite](https://milvus.io/docs/milvus_lite.md) is a lightweight version good for quickstart in python with `pip install`.

Want to use Milvus with zero setup? Try out [Zilliz Cloud ☁️](https://cloud.zilliz.com/signup?utm_source=partner&utm_medium=referral&utm_campaign=2024-11-04_web_github-readme_global) for free. Milvus is available as a fully managed service on Zilliz Cloud, with [Serverless](https://zilliz.com/serverless?utm_source=partner&utm_medium=referral&utm_campaign=2024-11-04_web_github-readme_global), [Dedicated](https://zilliz.com/cloud?utm_source=partner&utm_medium=referral&utm_campaign=2024-11-04_web_github-readme_global) and [BYOC](https://zilliz.com/bring-your-own-cloud?utm_source=partner&utm_medium=referral&utm_campaign=2024-11-04_web_github-readme_global) options available.

For questions about how to use Milvus, join the community on [Discord](https://discord.gg/33mfvwep3J) to get help. For reporting problems, file bugs and feature requests in GitHub [Issues](https://github.com/milvus-io/milvus/issues) or ask in [Discussions](https://github.com/milvus-io/milvus/discussions).

The Milvus open-source project is
under [LF AI & Data Foundation](https://lfaidata.foundation/projects/milvus/), distributed with [Apache 2.0](https://github.com/milvus-io/milvus/blob/master/LICENSE) License, with Zilliz as its major contributor.

## Quickstart

```python
$ pip install -U pymilvus
```
This installs `pymilvus`, the Python SDK for Milvus. Use `MilvusClient` to create a cli
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/milvus-io-milvus`](/api/graphcanon/tools/milvus-io-milvus)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_