Raphael De Lio

E se não puderem comparecer em nenhum desses eventos, não deixem de assistir o vídeo onde eu explico Vector Databases, Vector Similarity Search e Embedding Models de forma muito simples e intuitiva: youtube.com/watch?v=Yhv19l…

Sharding will only get you so far with relational DBs. Especially when we're talking about writing throughput. If someone's really looking for scalability they must start looking at NoSQL alternatives. That's one of the reasons why NoSQL DBs started popping up in the early 2010s

Not many folks realize Redis is also a geospatial DB since 2016. Reading @alexxubyte System Design book tonight, and Redis showed up as the 2nd DB mentioned, not for caching, but something else entirely. Quite happy to see this! What Redis features are you using? cc @sseraphini

The easiest way to get rid of a boring task is to finish it quickly. The more boring it is, the faster you should do it.

friendly reminder relational databases shouldn't have JSON in them

This is insane 🤯

Go + Vue/React, postgre and redis.

Go + React/any js for FE, postgre and redis Can solve most of the problems with it

Claude made me forget of Junie very quickly. I'm sorry, Junie, it's not you, it's me.

Vector search is cool. Really cool. And, we're all itching a reason to use it. And there are some really good reasons. But there are some, well, not so good ones as well. Know the difference and don't let vector search become your latest Golden Hammer. youtube.com/watch?v=Ryme6r…