Table of contents
Tencent Cloud VectorDB adopts a distributed deployment architecture, and each node communicates and coordinates with each other to realize data storage and retrieval. Client requests are distributed to each node through Load balance. For details, see Product Architecture .
node type
Tencent Cloud Vector Database is divided into storage type and computing type according to the ratio of storage node CPU and memory resource allocation .
Storage type: It is mainly used to store and manage large-scale vector data. Its main advantage is that it provides low query latency and can efficiently store and manage vector data. It is especially suitable for large data volume, fast data growth, and relatively low query QPS. scenarios, such as: face recognition, image search, etc.