¿Qué es Milvus?

LFAI & DATAProyecto de Graduación

Milvus es una base de datos de vectores de código abierto construida para manejar miles de millones de vectores y potencia las aplicaciones de IA más grandes del mundo.

Creado porZilliz Logo
Milvus video background

Construido sobre una comunidad vibrante y en crecimiento

  • 46K+

    Estrellas en GitHub

  • 4,000+

    Comunidad

  • 100M+

    Descargas

  • 300+

    Contribuidores

Milvus community

¿Cómo funciona Milvus?

  • check markServicios de Coordinador

    Orquestra el balance de carga y la gestión de datos a través de coordinadores, asegurando una gestión eficiente de datos, consultas e índices.

  • check markCapa de Acceso

    Maneja solicitudes externas usando proxies sin estado para gestionar conexiones, realizar verificaciones y balancear la carga.

  • check markNodos de Trabajo

    Ejecuta tareas como pods escalables implementando comandos del coordinador, permitiendo ajustes dinámicos para demandas cambiantes de datos, consultas e indexación.

  • check markCapa de Almacenamiento

    Asegura la persistencia de los datos a través de tres componentes: almacenes de metadatos, brokers de logs y almacenamiento de objetos.

How does Milvus work?

¿Por qué Milvus?

Milvus es una base de datos de vectores de código abierto y nativa de la nube que potencia Zilliz.

Escala según necesidad

Maneja miles de millones de vectores a través de su arquitectura distribuida, separando almacenamiento y computación. Su diseño de microservicios permite escalar funciones específicas, optimizando el uso de recursos a medida que creces.

Aprende más
Scale as needed

Alto Rendimiento

Milvus ofrece diversos tipos de índices (HNSW, DiskANN, Cuantización, Binario, etc.) y diseños optimizados para hardware tanto para CPU como para GPU. Esto asegura una recuperación rápida de vectores con alta recuperación en varios casos de uso.

Benchmark
High Performance

Soporte de Ciclo de Vida Completo

Milvus ofrece tres modelos de despliegue con una API unificada: Lite para prototipado, Standalone para pruebas y producción a pequeña escala, y Distribuido para producción a gran escala, permitiendo escalar sin necesidad de reescribir código.

Aprende más
Full Development Lifecycle Support

Rico en Características

Soporta múltiples tipos de búsqueda (top-K & ANN de rango, dispersa & densa, multi-vector, agrupación), filtrado de metadatos y multi-tenencia. Incluye herramientas de administración y se integra con varias herramientas y modelos de IA.

Explora los Cuadernos de Milvus
Feature Rich
“

Milvus has become the bridge that connects our multi-modal foundation models with real-world applications. It's not just about performance – it's about enabling entirely new approaches to biological discovery that were previously impossible."

Xiaoming Zhang

VP of Technology at Biomap

“

When we identify a need for specific data, we can often find the required data in our database the same day using text or image search with Milvus. This greatly improves our data processing efficiency and has a positive effect on our business operations."

Mr. Zhang

BOSCH’s principal software engineer

“

I really like how Milvus' hybrid search allowed me to blend semantic and keyword search, which is crucial in a domain as technical and complex as EU policy."

Alessandro Saccoia

Co-Founder @ Veridien.ai

“

Milvus is renowned as one of the most advanced vector database platforms for AI applications. Rakuten Symphony engineers identified the Milvus Vector Database - an open source database which is horizontally scalable - as their platform of choice for LLM use and developing and maintaining AI applications."

Rakuten Symphony Engineering Team

“

Whenever we demonstrate our solution with Milvus, we’re effectively crushing the cloud vendor solution’s performance. It’s a great benchmark because most enterprise users already know the vendor solution, so the comparison is immediate."

Hanlian Lyu

a Product Owner and BI Expert at Volvo Cars

“

Milvus’s real advantage was how easy and friendly it made things to understand and execute."

Hanlian Lyu

a Product Owner and BI Expert at Volvo Cars

“

When it comes to vector databases, Milvus has impressed us with its performance and scalability, meeting our stringent criteria for handling our AI use case backlog."

Team Lead

AI, ML, and Platform Solutions

“

During batch ingestion tests, Milvus demonstrated that it could complete an entire collection dump into the database at speeds 5–10 times faster than competitors."

Team Lead

AI, ML, and Platform Solutions

“

We've got millions of monthly active users and all of the underlying data when we're trying to go find related conversations, find updates to an action item, find referenced documents...Milvus serves as the central repository and powers our information retrieval among billions of records."

Rob Williams

Co-Founder and CTO at Read AI

“

Milvus has become the only technical choice for vector databases in our upcoming business expansion across the life sciences industry."

Xiaoming Zhang

VP of Technology at Biomap

“

Milvus transformed our ability to detect semantic plagiarism at scale. We can now process variable workloads ranging from 10 to 10,000+ documents daily while maintaining cost-effectiveness, which would have been impossible with traditional solutions."

Teis Petersen

Engineering Team Lead, UNIwise

“

If I were to choose again, I would still choose Milvus at this point. The scalability, documentation quality, and continuous innovation make it the right foundation for our plagiarism detection platform."

Teis Petersen

Engineering Team Lead, UNIwise

“

Among Milvus's rich vector search capabilities, features such as support for multiple ANN index types, multi-vector support, and hybrid search have proven especially valuable in real-world service environments. As Milvus continues to evolve with new capabilities, NAVER expects even broader applications across its services."

NAVER Engineering Team

“

Milvus has become the bridge that connects our multi-modal foundation models with real-world applications. It's not just about performance – it's about enabling entirely new approaches to biological discovery that were previously impossible."

Xiaoming Zhang

VP of Technology at Biomap

“

When we identify a need for specific data, we can often find the required data in our database the same day using text or image search with Milvus. This greatly improves our data processing efficiency and has a positive effect on our business operations."

Mr. Zhang

BOSCH’s principal software engineer

Construye Aplicaciones de IA con tus Herramientas Favoritas

¿Quieres ahorrar tiempo y dinero ejecutando Milvus?

Cada clúster de Zilliz Cloud ejecuta Milvus bajo el capó. Déjanos elegir los índices correctos, gestionar las actualizaciones de Milvus, escalar automáticamente por ti, y más.

Empieza Gratis