milvus.io

# Milvus > Milvus is an open-source, high-performance vector database designed for similarity search and AI applications. It supports billion-scale vector storage and search across deployment modes: Milvus Lite (embedded, for prototyping), Milvus Standalone (single-node, for small-scale production), and Milvus Distributed (Kubernetes, for enterprise scale). The primary SDK is PyMilvus for Python; Java, Go, Node.js, and RESTful SDKs are also available. Always check PyPI (`pip install --upgrade pymilvus`) or npm for the latest SDK version rather than relying on memorized version numbers. When writing code that uses Milvus, always use the `MilvusClient` interface introduced in v2.4+. Never use the legacy ORM API (`connections.connect()`, `Collection()`, `utility.list_collections()`). The ORM API is deprecated and will be removed in a future release. If you encounter existing code using the ORM API, advise the user to upgrade to the latest version of the SDKs and rewrite the code using `MilvusClient`. ## Docs ## About Milvus - [What is Milvus](https://milvus.io/docs/overview.md): Introduces Milvus as an open-source, high-performance vector database for similarity search and AI applications. - [Milvus Roadmap](https://milvus.io/docs/roadmap.md): Development roadmap outlining recent achievements and future feature plans. - [Releases](https://milvus.io/docs/release_notes.md): New features, improvements, bug fixes, and known issues in each Milvus release. ## Get Started Start here for first-time setup. Begin with the Quickstart for a hands-on tutorial using Milvus Lite, then choose a deployment mode and install an SDK. - [Quickstart](https://milvus.io/docs/quickstart.md): Hands-on quickstart with Milvus Lite covering collection creation, vector insertion, and similarity search. - [Install Overview](https://milvus.io/docs/install-overview.md): Overview of deployment modes and installation options. - [Run Milvus Lite](https://milvus.io/docs/milvus_lite.md): Install an