Zilliz Cloud Serverless

Zilliz Cloud Serverless is a high-performance vector database service designed for GenAI applications. It provides automatically expanded database capabilities, and the cost increases with business growth. The product uses a tiered storage system that combines DRAM, SSD and object storage to automatically optimize data placement, ensuring fast access to active data while reducing the cost of infrequently used information without the need for manual management. Zilliz Cloud Serverless provides a powerful solution for enterprises that need to process large-scale vector data with its cost-effectiveness, data portability and automatic scaling capabilities.

Demand group:

"The target audience is enterprises and technology teams that need to process large-scale vector data, especially those looking for high-performance, cost-effective solutions in the fields of artificial intelligence, machine learning and big data analytics. Zilliz Cloud Serverless is known for its automatic scaling and cost The cost-effective features are ideal for enterprises that need to flexibly respond to changes in data volume and computing needs. "

Example of usage scenario:

Ivy.ai leverages Zilliz Cloud Serverless to expand GenAI-powered communications capabilities.

Enterprises use Zilliz Cloud Serverless to conduct large-scale vector similarity searches to improve the accuracy of product recommendation systems.

Data scientists use Zilliz Cloud Serverless for vector storage and retrieval of machine learning models to accelerate model training and deployment.

Product features:

- High-performance vector search: Store, index, and manage large-scale embedding vectors generated by deep neural networks and other machine learning models.

- Low latency and high recall: ensuring low latency and high recall of data is crucial for real-time decision-making.

- Hybrid search: Supports simultaneous queries across multiple vector fields, supporting multi-modal, sparse-dense and dense text combinations for more diverse and accurate results.

- Multiple similarity measures: Choose the right similarity measure (Cosine, Euclidean, IP, etc.) to improve classification and clustering performance.

- Tunable Consistency: Gain flexibility with multiple consistency levels to match data accuracy and performance to your application needs.

- Scale on demand: Easily scale horizontally through a component-based architecture, ensuring peak performance and efficiency are maintained regardless of workload fluctuations.

Usage tutorial:

1. Visit Zilliz Cloud Serverless official website and register an account.

2. After logging in, follow the instructions to create a new vector database instance.

3. Upload or generate your vector data and import it into Zilliz Cloud Serverless .

4. Use the API provided by Zilliz Cloud Serverless to perform vector search and query operations.

5. Adjust database configuration according to business needs, such as vector fields, similarity measures, etc.

6. Monitor database performance and costs, and use automatic scaling to respond to changes in data volume and query load.

7. If necessary, use the one-click migration function to transfer data to Zilliz's dedicated cluster or the open source Milvus.

8. Get technical support and further learning resources through Zilliz Cloud Developer Hub.