Robust Vector Retrieval for Optimal Search Experience
Achieve a 10x performance boost on Zilliz Cloud with advanced indexing algorithms, ensuring millisecond-level latency for prompt user interactions. Elevate your AI-bases search experience now!
Offer Real-Time Search Results with Unparalleled Precision
Ensure consistently up-to-date search results with unparalleled precision using range search, hybrid vector search and scalar filtering, seamless data management within Zilliz Cloud.
Effortless Scaling for Limitless Business Expansion
Say goodbye to data size concerns with Zilliz Cloud. The computing and storage resources seamlessly and independently scale to align with your budget and evolving needs.
Start with Simplicity and Amplified Productivity
Launch a large-scale similarity search service in minutes with user-friendly SDKs in multiple languages and streamlined data operations, ensuring an intuitive user experience.
Always On, Always Reliable
Build resilient AI search engines without interrupted services with multiple replicas, isolating system components, and robust backup and sync capabilities.
How Zilliz Cloud Powers Semantic Search？
A Zilliz-powered semantic search engine works in the following ways:
- Documents are ingested into Zilliz Cloud.
- Zilliz Cloud’s built-in Ingestion Pipeline converts the documents into vector embeddings and stores them in Zilliz Cloud collections.
- The user makes a query.
- Zilliz Cloud’s built-in Search Pipeline converts user queries into vector embeddings and sends them to Zilliz Cloud for similarity retrieval.
- Zilliz Cloud retrieves the Top-K most relevant results by comparing the spatial distance between the user query and document vectors.
- Zilliz Cloud returns the Top-K results to users.
Industry leaders worldwide use Milvus or Zilliz (managed Milvus) to empower their applications with advanced semantic searching capabilities.
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