Vector Database for AI

What is zilliz.com?

Zilliz.com is the official website of Zilliz, a prominent company specializing in vector databases tailored for enterprise-level AI applications. Zilliz offers a cloud-based vector database service powered by Milvus, an open-source vector database that has gained substantial popularity and growth in recent times.

Zilliz Cloud serves as a platform where users can efficiently store, index, and manage extensive embedding vectors generated by deep neural networks and other machine learning models. It distinguishes itself by offering remarkably fast query capabilities, regardless of the dataset's size.

Additionally, Zilliz Cloud boasts several key features, including elastic and scalable serverless architecture, a pay-as-you-go pricing model, compatibility with multiple cloud providers, robust high availability, and comprehensive enterprise-grade security and governance measures. These features collectively simplify the deployment and scaling of vector search applications, eliminating the complexities associated with creating and maintaining intricate data infrastructure.

It's worth noting that Zilliz Cloud has earned the trust of more than 5000 enterprises worldwide, highlighting its track record and credibility in the industry.

How does zilliz.com work?

Zilliz.com is a cloud-based service specifically designed for managing extensive embedding vectors generated by machine learning models. This platform offers users the capability to store, index, and conduct searches on these vectors efficiently.

At its core, Zilliz.com utilizes Milvus, an open-source vector database renowned for its support of various similarity metrics and index types. This foundation ensures versatility and robust functionality within the service.

Additionally, Zilliz.com incorporates a range of valuable features, including elastic and scalable serverless architecture, a pay-as-you-go pricing model, multi-cloud compatibility, high availability, and comprehensive enterprise-grade security and governance measures. These features collectively streamline the deployment and scaling of vector search applications, eliminating the complexities associated with the creation and maintenance of intricate data infrastructure.

For further insights and information regarding Zilliz.com and its practical applications, interested parties are encouraged to explore their official website or developer hub.

How much does zilliz.com cost?

Zilliz.com presents users with a range of pricing options tailored to accommodate diverse data storage and processing requirements. These pricing plans offer flexibility and customization to align with specific needs.

Users have the choice of selecting from three distinct compute unit (CU) types, each differing in performance and capacity. Additionally, they can opt for their preferred cloud provider and region to optimize their operational environment.

For those seeking an introductory experience, there is a serverless starter plan available, which includes the benefit of up to two free collections. Alternatively, for users with more advanced demands, an enterprise plan is offered, encompassing enhanced features and dedicated support.

To facilitate cost estimation, Zilliz.com provides a pricing calculator on its website, enabling users to gauge expenses based on their data components and various pricing variables. Alternatively, users have the option to subscribe to Zilliz Cloud through platforms like AWS or GCP Marketplace.

Moreover, Zilliz Cloud extends a free trial opportunity for both standard and enterprise plans, allowing potential users to explore and evaluate its offerings at no initial cost.

What are the benefits of zilliz.com?

Zilliz.com is a cloud-based vector database service tailored to meet the demands of enterprise-level AI applications. This platform offers a wide array of advantages, including:

1. Seamless Integration: Zilliz.com provides easy integration with prominent vectorizers and machine learning models offered by organizations like OpenAI, Cohere, HuggingFace, and others.

2. Exceptional Speed: It enables lightning-fast queries on vast collections of embedding vectors, supporting various similarity metrics and index types to cater to diverse needs.

3. Scalable Architecture: Zilliz.com features an elastic and scalable serverless architecture that dynamically adjusts to accommodate varying data volumes and performance requirements.

4. Flexible Pricing: With a pay-as-you-go pricing model, users are billed only for the resources they actively utilize, offering cost-efficiency and flexibility.

5. Multi-Cloud Compatibility: Users have the freedom to select their preferred cloud provider, including options like AWS, GCP, or others, ensuring compatibility with existing infrastructure.

6. Reliability and Security: Zilliz.com guarantees high availability and incorporates robust enterprise-grade security measures to safeguard user data, ensuring accessibility and protection.

7. Streamlined Deployment: Users can simplify the process of deploying and scaling vector search applications, eliminating the complexities of managing intricate data infrastructure.

It is noteworthy that Zilliz.com has gained the trust of over 5000 enterprises globally and is built upon the renowned open-source vector database, Milvus.

How to get started with zilliz.com?

To initiate your usage of Zilliz.com, you can follow these straightforward steps:

1. Registration: Start by registering on the Zilliz Cloud platform. You can create an account directly on their website or opt to subscribe to their service through AWS or GCP Marketplace.

2. SDK Installation: Depending on your preferred programming language, install the appropriate Milvus SDKs, which are available for Python, Java, or Go.

3. Collection Creation: After the SDK installation, proceed to create a collection within Zilliz Cloud. Subsequently, insert your embedding vectors into the platform using the installed SDKs.

4. Index Building: Enhance the performance of your collection by building and loading an index. This step is crucial for enabling swift vector searches.

5. Query Execution: Finally, leverage the SDKs or the Zilliz Cloud console to execute similarity queries on your collection, facilitating efficient data retrieval.

By following these steps, you can efficiently get started with Zilliz.com and harness its capabilities for your specific requirements.