25d • General Discussion 💬
🔍 Are we overusing vector databases for tasks that don’t actually need them?
Vector DBs became the default answer for anything involving context or memory… but do most projects truly need them?
A lot of devs are using Pinecone, Weaviate, or Qdrant even when a simple JSON store or SQL table might be enough.
So let’s discuss:
Where do vector databases actually provide real value, and where are they just adding cost and complexity?
Have you built anything that worked better after removing a vector DB?
Or do you think they’re essential for any scalable AI workflow?
Curious to hear real examples — both successes and failures.
4
3 comments
🔍 Are we overusing vector databases for tasks that don’t actually need them?
skool.com/ai-automation-society
A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.
Leaderboard (30-day)
1
🔥
+2483
2
🔥
+1171
3
+1057
4
🔥
+932
5
🔥
+736
Powered by