# milvus-io/milvus

> Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

- GitHub: https://github.com/milvus-io/milvus
- Website: https://milvus.io
- Category: RAG, Search & Data (https://ideas.asveas.com/c/rag)
- Tags: anns, cloud-native, diskann, distributed, embedding-database, embedding-similarity, embedding-store, faiss, go, hnsw, image-search, llm, nearest-neighbor-search, rag
- Language: Go · License: Apache-2.0
- Stars: 46,644 · Forks: 4,328 · Open issues: 1,478
- Last push: 2026-11-11 (today)
- Vibe score: 92/100

## What it is
🐦 Milvus 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, 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 for single machine deployment. Milvus Lite is a lightweight version good for quickstart in python with pip install.

## When to use it
Reach for milvus when you need semantic search, embeddings, scraping or turning documents into LLM-ready data — it's written in Go and fits stacks tagged anns, cloud-native, diskann, distributed.

## Maintenance
milvus-io/milvus looks very actively maintained: the last push was today (2026-11-11), with 46,644 stars and 1,478 open issues.

## Quick start
```bash
git clone https://github.com/milvus-io/milvus.git
```

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Source: https://ideas.asveas.com/r/milvus-io/milvus · Catalog: https://ideas.asveas.com/llms.txt