AI Agents Directory

Milvus

Milvus is an open-source vector database for GenAI applications, enabling high-speed searches and scaling to billions of vectors.

Introduction

Milvus: High-Performance Vector Database

Milvus is an open-source vector database designed for similarity search and analytics on large-scale vector datasets. It's built to handle the demands of modern AI applications, offering scalability and speed.

Key Features:
  • High Performance: Optimized for fast vector similarity searches.
  • Scalability: Scale to tens of billions of vectors with minimal performance loss.
  • GenAI Applications: Specifically designed for generative AI workloads.
  • Flexible Deployment: Offers various deployment options, including Milvus Lite, Standalone, Distributed, and Zilliz Cloud.
  • Integration with AI Tools: Plays well with LangChain, LlamaIndex, OpenAI, Hugging Face, and more.
  • Feature-Rich: Supports metadata filtering, hybrid search, and multi-vector search.
Use Cases:
  • RAG (Retrieval-Augmented Generation): Build RAG applications for enhanced content generation.
  • Image Search: Implement image similarity search for managing and exploring image collections.
  • Multimodal Search: Enable search across different data modalities.
  • Hybrid Search: Combine vector similarity search with traditional filtering techniques.
Deployment Options:
  • Milvus Lite: Lightweight, easy to start, ideal for learning and prototyping.
  • Milvus Standalone: Robust, single-machine deployment for production or testing with datasets up to millions of vectors.
  • Milvus Distributed: Scalable, enterprise-grade solution for handling billions of vectors.
  • Zilliz Cloud: Fully managed Milvus service for hassle-free deployment and 10x faster performance.

Information

  • Publisher
    Jeremy Xiao
  • Websitemilvus.io
  • Published date2025/04/01

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