With the widespread adoption of LLM and the rapid growth of the AI app market, the conversation around vector databases has become particularly vibrant. So, for AI app developers, what feature do you consider the most important when you're in the process of selecting a vector database?<p>Here are some options provided, and of course, you are welcome to add more:<p>- Fast vector search<p>- Filter search<p>- Scalability<p>- Hybrid search<p>- Cost effective<p>- Security
I think the most valued feature for a vector database depends on the specific use case and requirements of the application. For instance, in the social network analysis app we are developing, we highly value the feature of "Support for Complex Queries." This feature can greatly assist in analyzing diverse relationships and patterns within social networks, which is paramount for our application's functionality.