For the previous articles in this series, I tested Silk Platform’s capabilities in multiple contexts, both its raw performance in the cloud and suitability for modern enterprise AI use cases like vector search.
In my last blog post I wrote about AI-enhancing your existing applications with low risk – and without a huge upfront effort to see if there’d even be value in it for your business. You can just add new AI use cases to your current applications and data, within the database instances that you already have. This approach is possible thanks to all major database vendors now supporting AI vector search and various “AI API calls” in their latest product versions.
The reason I am excited about the latest genAI and vector search developments is that you can “plug in” these new technologies into your existing applications and their data, without having to re-platform or re-engineer your entire stack first. You can keep your existing application code and database design exactly as it is and then just add new genAI & vector search features where it makes sense.
This post was originally published on tanelpoder.com and has been reprinted here with the author’s permission.
Tanel Poder
Database consultant & performance geek
Co-author Expert Oracle Exadata
tanelpoder.com