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Version: User Guides (Cloud)

Release Notes

You can find the history of Zilliz Cloud releases in these docs.

Release Notes (Oct 14, 2024) [READ MORE]

This release of Zilliz Cloud introduces several key updates the Notebook Gallery, which provides examples on advanced features like RAG, embeddings, and multi-modal search; an Improved Capacity of Performance-optimized CU, now increased by 50%, accommodating up to 1.5 million 768-dim vectors per CU and potentially reducing costs by 30% for large data volumes; and Multi-replica Availability, enhancing query performance and reliability by distributing workloads and replicas across Availability Zones (AZs). Additionally, Zilliz Cloud now supports the AWS Tokyo Region for improved performance in the Asia-Pacific area, Prometheus Integration for real-time monitoring and troubleshooting, and a revamped Authentication and Login System with Auth0, offering multiple login methods including SSO. Lastly, users can evaluate Zilliz products through the AWS Marketplace Free Trial, providing risk-free access to core features for performance and scalability testing.

Release Notes (Sept 4, 2024) [READ MORE]

This release brings several key updates to Zilliz Cloud, starting with the GA of Zilliz Cloud Serverless, which offers automatic scaling and enables up to 50x cost savings. Milvus 2.4 features are now GA, introducing capabilities such as sparse vectors, multi-vector hybrid search, and inverted index with fuzzy matching. This release also includes multi-replica functionality in public preview, allowing users to improve query throughput and availability by distributing workloads across replicas in multiple Availability Zones (AZs). Additionally, Zilliz Cloud’s new Migration Service supports migration from open-source Milvus, pgvector, Elasticsearch, and enables intra-organization and cross-organization data migrations within Zilliz Cloud. The expanded RESTful APIs for backup, restore, migration, and job management empower users to build automated operational workflows. Further enhancements include support for Project Read-only roles and the ability to rename clusters and snapshots.

Release Notes (July 23, 2024) [READ MORE]

In this update, Zilliz Cloud now supports Milvus' new RESTful API v2, providing a consistent interface and expanded functionalities. A new documentation chatbot enhances user support. The Job Center introduces an intuitive interface for managing and tracking tasks such as backup, restore, migration, import, and clone collection. Auto-scaling for dedicated clusters, available in private preview, dynamically adjusts capacity based on demand, triggered by the Compute Unit (CU) Capacity Threshold. Other enhancements include more cluster monitoring metrics, a revamped cluster management interface, and improved user email templates.

Release Notes (June 18, 2024) [READ MORE]

In this release, Zilliz Cloud has unveiled an array of new features backed by Milvus 2.4, including sparse vector support, enhanced multi-vector and hybrid search, an inverted index and fuzzy matching for faster queries, and grouping search for document-level recall. It also introduces Float16 and BFloat16 data types for improved search efficiency. In addition, the Pipelines feature now tracks token usage stats with every data ingestion and search request, streamlining performance monitoring. You can find detailed stats on the invoice page.

Release Notes (April 3, 2024) [READ MORE]

This update introduces powerful tools and enhancements to Zilliz Cloud new Connectors for easy data ingestion from sources like Object Storage, Rerankers to improve search relevance, a Metrics Monitoring API for in-depth system state analytics, and a Cross Cloud Data Import feature allowing direct import from AWS S3, Google Cloud Storage, and Azure Blob Storage to vector database instances. These features combine to elevate data ingestion, search precision, and operational insight, streamlining the management of vector databases in the cloud.

Release Notes (May 15, 2024) [READ MORE]

This update to Zilliz Cloud introduces the Serverless plan in BETA. It is designed for applications with variable query volumes, requiring minimal configuration and offering seamless scalability. This plan is now available on GCP us-west1 (Oregon) and includes a free trial during the BETA period. Additionally, new regions are supported for dedicated clusters Germany West Central (Frankfurt) for Azure, and europe-west3 (Frankfurt) and us-east-4 (Virginia) for GCP. This release also introduces several enhancements to monitoring metrics, search precision control, and import jobs.

Release Notes (March 13, 2024) [READ MORE]

Zilliz Cloud has introduced two major enhancements in its latest release. Firstly, Pipelines now support six state-of-the-art (SOTA) embedding models, which expands your data processing capabilities. The other major enhancement is that the Collection Playground feature has been added to simplify your onboarding experience. With this feature, you can easily perform basic Create, Run, Update, and Delete (CRUD) operations directly from the Zilliz Cloud console, making your data interaction processes more streamlined. You can try these new features today to enjoy a more efficient and effective workflow.

Release Notes (Dec 11, 2023) [READ MORE]

Now Zilliz Cloud services are available on Azure, starting with the East US region. Additionally, we introduce Zilliz Cloud Pipelines (Beta) which transforms unstructured data into vector embeddings for ingestion and retrieval. The release also brings improved RBAC and credential management within Clusters, with three predefined roles (admin, read-write, read-only) for user administration. Other updates include enhanced error message content and stability improvements for more reliable service.

Release Notes (Oct 17, 2023) [READ MORE]

We're pleased to announce the launch of our AWS Frankfurt region in the EU. Accompanying this expansion, we introduce beta features Range Search, Upsert, and Cosine Metric Type, enhancing search capabilities and data management efficiency. Additional functionalities include API Key Access, Retrieve Raw Vectors, JSONCONTAINS Filter, and Entity Count. Noteworthy improvements in RBAC, billing, pricing calculation, account management, and service stability have also been implemented for an enhanced user experience.

Release Notes (June 11, 2023) [READ MORE]

The release of Zilliz Cloud sets a new standard in vector database management. It significantly enhances the user experience for beginners, offers more affordable and flexible pricing options, enables seamless team collaboration, and provides flexible schema management. Key features of this update include a serverless cluster, diverse tier plans, organization and collaboration support, RBAC support, partition key, dynamic schema, and JSON type support. Try out this game-changing update today!

Release Notes (Nov 18, 2022) [READ MORE]

We're excited to announce the general availability of a major Zilliz Cloud update, now open to the public without the need for an invitation. This release introduces capacity-optimized Compute Units (CUs), allowing up to 32 CUs per database for enhanced performance. It also enables data import from local files and AWS S3 buckets, simplifies the process with auto-indexing, and adds resource monitoring for QPS and query latency. Additionally, database creation speed has been improved by five times, and the user interface has been optimized for a superior experience.