milvus-io/milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 10 days ago, with 340 contributors on GitHub.
Peaked at #8 in the weekly ranking the week of Nov 23, its best in the past year.
Use Cases & Benefits
- Provides a high-performance, cloud-native vector database for scalable approximate nearest neighbor (ANN) search on unstructured data like text and images.
- Enables horizontal scaling with a fully distributed, Kubernetes-native architecture and hardware acceleration for CPU/GPU to deliver fast, real-time vector search at massive scale.
- Use for building AI-powered semantic search engines that index and retrieve text, image, or multimodal embeddings efficiently.
- Use for implementing Retrieval-Augmented Generation (RAG) systems that combine vector search with language models for enhanced question answering and knowledge retrieval.
- Use for developing recommendation systems that leverage vector similarity to suggest relevant items based on user preferences and behavior.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
🐦 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 accelaration 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.Want to use Milvus with zero setup? Try out Zilliz Cloud ☁️ for free. Milvus is available as a fully managed service on Zilliz Cloud, with Serverless, Dedicated and BYOC options available.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+966 stars over 85 days across 29 snapshot days; best day +30 on Aug 27.
Forks
4.3K+144
Open issues
1.5K+191
Compared with peers in Cloud
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| Asymptote-Labs/agent-beacon | 3.4K | +315 | 75 | 1 day ago |
| milvus-io/milvus | 46.6K | — | 64 | 10 days ago |
| firecracker-microvm/firecracker | 37.9K | — | 62 | 59 days ago |
| vectordotdev/vector | 22.8K | — | 64 | 11 days ago |
| jhipster/generator-jhipster | 22.5K | — | 62 | 51 days ago |
| moby/buildkit | 10.4K | — | 65 | 1 day ago |
| Category median | 22.5K | — | 64 | — |
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