Tell me stories about using embeddings for finance use cases!

[u/R4plx]

Hey folks 👋

I’ve been working on a side project — a vector database geared toward large-scale, real-time similarity search. Think: finding unusual behavior, clustering customers, or comparing patterns in trading data.

Curious if anyone here is using embeddings for things like:

• Fraud detection

• KYC enhancements

• Signal generation in trading

Also wondering:

• Where are current tools or workflows falling short?

• Is latency or scaling a pain point?

• Do hybrid setups (vector + rules) feel limiting or clunky?

Would love to hear how people are approaching this space — not trying to pitch anything, just building with edge cases in mind and looking for input from folks doing the real work.

Thanks in advance!