[brainfog]

> that would necessitate constant retraining

You wouldn't necessarily need to retrain that frequently. If your model outputs hashes / vectors that can be used for searching, you just need to run inference on your new data as it comes in.

[Legend2440]

Definitely this, embeddings would be the modern approach.

[raylad]

The "modern" approach sounds like it would be a lot worse than this approach both in terms of input and runtime performance.

Trendy ("modern") is not necessarily better.