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Indexed Oct 12, 2026 · 46,365 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
Application · for humans & their agents
milvus
unclaimed listingactively maintainedFreeApache-2.0
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
by Open Source Community · New publisher
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milvus-io/milvus is an open-source project by milvus-io: Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/milvus-io/milvus
From the project's own README (excerpt, reproduced for discovery under its Apache-2.0 license):
What is Milvus?
🐦 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.
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.
For questions about how to use Milvus, join the community on Discord to get help. For reporting problems, file bugs and feature requests in GitHub Issues or ask in Discussions.
The Milvus open-source project is under LF AI & Data Foundation, distributed with Apache 2.0 License, with Zilliz as its major contributor.
Quickstart
This installs pymilvus, the Python SDK for Milvus. Use MilvusClient to create a client:
You can also try Milvus Lite for quickstart by installing pymilvus[milvus-lite]. To create a local vector database, simply instantiate a client with a local file name for persisting data:
You can also specify the credentials to connect to your deployed Milvus server or Zilliz Cloud:
With the client, you can create collection:
Ingest data:
Perform vector search:
Why Milvus
Milvus is designed to handle vector search at scale.…
Preview
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01Capabilities
Does
- No capabilities recorded
Doesn’t
- No exclusions declared
02Requirements & stack
Depends on
No declared dependencies
Credentials needed
None declared
Stack
03Community
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Issues 0
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04Trust Passport
Full passport →0/0 automated components pass. An automated score is never a security guarantee.
This listing is unclaimed, so publisher identity cannot be verified and it stays below the “verified” tier by design — that is a statement about the listing, not about the project’s quality. Our automated scans still ran; a maintainer who claims it unlocks identity verification.
05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Oct 12, 2026 | Indexed listing — see the upstream repository for real release history. |