10th April 2024
The challenge [with RAG] is that most corner-cutting solutions look like they’re working on small datasets while letting you pretend that things like search relevance don’t matter, while in reality relevance significantly impacts quality of responses when you move beyond prototyping (whether they’re literally search relevance or are better tuned SQL queries to retrieve more appropriate rows). This creates a false expectation of how the prototype will translate into a production capability, with all the predictable consequences: underestimating timelines, poor production behavior/performance, etc.
Recent articles
- OpenAI's rogue agents were caught communicating via public wikis - 4th September 2026
- Claude's new system prompt really doesn't want to reproduce song lyrics - 2nd September 2026
- Claude Fable 5.1 made me a really nice animated pelican - 1st September 2026