Tencent Cloud Vector Database Open Beta Launches, Leading Industry Performance

Tencent Cloud Vector Database Officially Opens Full-scale Public Testing with Significant Performance Breakthroughs Tencent Cloud Vector Database has officially opened full-scale public testing and achieved significant performance breakthroughs. According to Luo Yun, Deputy General Manager of Tencent Cloud Database, the product now supports single-index vector scale of billions, millisecond-level query latency with millions of QPS, and computing costs that are more than 2 times lower than the industry average, reaching a leading position in the industry. Additionally, this product is also the first to pass the Vector Database test conducted by the China Academy of Information and Communications Technology. Since its release in July, Tencent Cloud Vector Database has provided services to more than 40 internal businesses within Tencent Group and hundreds of external customers, covering multiple industries such as education, SaaS, tools, and gaming. It helps customers quickly explore AI applications. This product adopts a cloud-native distributed architecture, ensuring high stability. It also integrates exclusive Embedding functionality, simplifying the vector generation process and improving data processing efficiency. Furthermore, it provides the DMC visualization management tool, facilitating user database operations. Tencent Cloud Vector Database solves the problems of high cost and outdated knowledge updates in large-scale pre-training of models by vectorizing data. It breaks through the limitations of large models in terms of time and space, accelerating the implementation of large models in industry scenarios. By using this product, efficiency can be improved by 10 times and costs can be reduced by 2-4 orders of magnitude. Previously, it took one month for an enterprise to integrate a large model, but with this product, it can be completed in as little as 3 days, greatly reducing the integration costs for enterprises.