"Vector Database Guide" - Vector Database VS Faiss

Vector Database VS Faiss

 

 

Faiss is an efficient Approximate Nearest Neighbor (ANN) search solution, but its capabilities are limited when faced with tens of millions of vectors to store and retrieve while requiring real-time response or more advanced features.

 

Vector databases can effectively solve these problems:

 

 

• The vector database supports basic data addition, deletion, modification and query (CRUD) operations, can adjust the consistency level, and provides functions such as conditional filtering;
   
• The vector database can provide stronger data persistence and perform better in disaster recovery and system availability;
   
• The vector database adopts a distributed architecture that separates computing and storage, supports load balancing, flexible expansion, and higher system availability;
   
• Vector Database provides advanced functions such as multi-tenancy, indicator monitoring, and RBAC, and provides SDKs and RESTful APIs in various programming languages.