Milvus

Rapidly create and search high-dimensional vector collections with minimal performance impact, scaling to billions of vectors with a distributed architecture.
Vector Database High-Dimensional Search Scalable Architecture

Milvus is an open-source vector database optimized for high-dimensional vector search. It's designed to allow you to rapidly create collections, add data, search and delete data with minimal performance impact. It's designed to scale, too, with a distributed architecture that can handle billions of vectors.

Milvus comes in several forms to meet your needs:

  • Milvus Lite: A lightweight version for learning, prototyping and running as a library in a notebook or laptop.
  • Milvus Standalone: A standalone version for production and testing with collections of up to millions of vectors.
  • Milvus Distributed: An enterprise version for high-scale, high-availability vector database needs, with billions of vectors.
  • Zilliz Cloud: A managed version with low operational overhead available in serverless and dedicated cluster configurations.

Among its features are:

  • Blazing Fast Searches: Get results fast with Global Index, no matter how large your collection is.
  • Reusable Code: Write once and deploy with a single line of code to production.
  • Supportive Community: Lots of documentation and active developers.
  • Feature-Rich: Metadata filtering, hybrid search, multi-vector support and more.
  • Elastic Scaling: Supports tens of billions of vectors with a distributed architecture.

Milvus is well-suited for GenAI use cases like image retrieval, recommender systems, anomaly detection and semantic search. It integrates with other tools and has a large community of developers contributing to the project.

For more details, check the Milvus website for tutorials, documentation and managed services.

Published on August 2, 2024

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