Zilliz Cloud Serverless
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Zilliz Cloud Serverless
Overview :
Zilliz Cloud Serverless is a high-performance vector database service designed for GenAI applications, offering auto-scaling database capabilities where costs increase with business growth. The product utilizes a tiered storage system that combines DRAM, SSD, and object storage to automatically optimize data placement, ensuring quick access to active data while reducing costs for less frequently accessed information, all without manual management. With its cost-effectiveness, data portability, and auto-scaling capabilities, Zilliz Cloud Serverless provides a powerful solution for enterprises that need to handle large-scale vector data.
Target Users :
Target audience includes enterprises and technical teams that need to handle large-scale vector data, especially those seeking high-performance, cost-effective solutions in fields like artificial intelligence, machine learning, and big data analytics. With its auto-scaling and cost-efficiency features, Zilliz Cloud Serverless is ideal for businesses that need to flexibly respond to variations in data volume and compute requirements.
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Use Cases
Ivy.ai expanded its GenAI-driven communication capabilities using Zilliz Cloud Serverless.
Companies use Zilliz Cloud Serverless for large-scale vector similarity searches to improve the accuracy of product recommendation systems.
Data scientists utilize Zilliz Cloud Serverless for vector storage and retrieval of machine learning models, accelerating model training and deployment.
Features
- High-performance vector search: Store, index, and manage large-scale embeddings generated by deep neural networks and other machine learning models.
- Low latency and high recall: Ensure low latency and high recall of data, which is critical for real-time decision-making.
- Hybrid search: Supports simultaneous queries across multiple vector fields, enabling multimodal, sparse-dense, and dense-text combinations for more diverse and accurate results.
- Multiple similarity measures: Choose the appropriate similarity measure (cosine, Euclidean, IP, etc.) to enhance classification and clustering performance.
- Adjustable consistency: Obtain flexibility with various levels of consistency to match data accuracy and performance with your application needs.
- On-demand scaling: Easily scale horizontally through a component-based architecture to maintain peak performance and efficiency, regardless of workload fluctuations.
How to Use
1. Visit the Zilliz Cloud Serverless official website and register for an account.
2. After logging in, follow the prompts to create a new vector database instance.
3. Upload or generate your vector data and import it into Zilliz Cloud Serverless.
4. Use the APIs provided by Zilliz Cloud Serverless to perform vector searches and queries.
5. Adjust database configurations based on business needs, such as vector fields and similarity measures.
6. Monitor database performance and costs, leveraging auto-scaling features to handle fluctuations in data volume and query load.
7. If needed, utilize the one-click migration feature to transfer data to Zilliz's dedicated clusters or open-source Milvus.
8. Obtain technical support and further learning resources through the Zilliz Cloud Developer Hub.
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