Tencent Cloud VectorDB is a fully managed, self-developed enterprise-level distributed database service designed specifically for storing, retrieving, and analyzing multidimensional vector data. With support for multiple index types and similarity calculation methods, it can perform billion-scale single-index vector searches and sustain millions of QPS with a latency of just milliseconds. In addition to enhancing answer accuracy for large language models (LLMs) by serving as an external knowledge base, Tencent Cloud VectorDB finds extensive applications in AI domains such as recommendation systems and natural language processing (NLP).
Tencent Cloud VectorDB
Fully managed, self-developed enterprise-level distributed vector database
Overview
Benefits
High Performance
Perform billion-scale single-index vector searches and sustain millions of QPS with a latency of just milliseconds.
High Availability
Protect your data with multiple replicas for disaster recovery, ensuring continuous operations of your databases in the face of challenges such as node failures and workload changes.
Low Cost
Create your vector database instance easily in the console without any installation, deployment, or maintenance, reducing your costs associated with hardware, operations, and human resources.
Scenarios
Tencent Cloud VectorDB can be used with LLMs. Enterprises can store their private domain data in Tencent Cloud VectorDB after it has been text segmented and vectorized. This helps them build a dedicated external knowledge base to provide LLMs with better prompts and generate more accurate answers for future retrievals.
