Búsqueda por similitud de imágenes
Potencie su sistema de búsqueda por similitud de imágenes con Zilliz Cloud (la versión totalmente gestionada de Milvus)
Image Similarity Search with Zilliz Cloud Vector Database
Discover visually similar images effortlessly with Zilliz Cloud-powered image similarity search engines, proving valuable in various fields like e-commerce and art.
Effortlessly Accommodate Your Spiking Image Data
Say goodbye to data size concerns with Zilliz Cloud. Experience horizontal and independent scaling for computing and storage, aligning with your budget and evolving needs. Manage billions of image vectors within hours with efficient bulk inserts.
High-Performant Image Similarity Search with Unparalleled Precision
Experience a 10x performance boost on Zilliz Cloud with advanced indexing algorithms, ensuring millisecond-level latency. Benefit from unparalleled precision using hybrid vector search with scalar filtering and range search capability.
Real-Time Image Search Results for Optimized User Experience
Zilliz Cloud guarantees consistently up-to-date search results through real-time data insertion, deletion, and seamless data flows, significantly optimizing the user experience.
Always On, Always Reliable
Zilliz Cloud builds resilient image search systems, guaranteeing uninterrupted service reliability even in unexpected events through multiple replicas, component isolation, and robust backup and sync capabilities.
Start with Simplicity and Amplified Productivity
Deploy a large-scale image similarity search service in minutes with user-friendly SDKs in multiple languages and streamlined data operations, ensuring an intuitive user experience.
Cómo Zilliz Cloud potencia la búsqueda por similitud de imágenes
Un sistema de búsqueda por similitud de imágenes basado en Zilliz funciona de la siguiente manera:
- Las imágenes se transforman en incrustaciones vectoriales utilizando un modelo de incrustación.
- Las imágenes incrustadas se ingieren y almacenan en Zilliz Cloud.
- Los usuarios buscan imágenes similares a sus imágenes de consulta.
- La consulta de imágenes se transforma en incrustaciones vectoriales utilizando un modelo de incrustación.
- Las incrustaciones de la consulta se envían a Zilliz Cloud para realizar una búsqueda de similitudes.
- Zilliz Cloud realiza búsquedas aproximadas del vecino más cercano (RNA) y recupera los K resultados más relevantes comparando la distancia espacial entre los vectores de la consulta y de la imagen.
- Zilliz Cloud devuelve al usuario los K resultados más relevantes.
Historias de Éxito
Los líderes del sector de todo el mundo utilizan Milvus o Zilliz Cloud (el Milvus totalmente gestionado) para crear sus sistemas de búsqueda de imágenes.
90% reduction
in search latency
Sharp reduction
on $ and time
Easily scale
as business grows
Handled tens of millions of
vector embeddings with fast scaling capability
Achieved millisecond-level
query speed with optimal user experience
Reshaped the future of fashion
with a harmonious fusion of human creativity and machine intelligence
90% reduction
in search latency
Sharp reduction
on $ and time
Easily scale
as business grows
Handled tens of millions of
vector embeddings with fast scaling capability
Achieved millisecond-level
query speed with optimal user experience
Reshaped the future of fashion
with a harmonious fusion of human creativity and machine intelligence