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
- We're going to need default hard budget caps on pretty much everything - 3rd October 2026
- OpenAI DevDay 2026 live blog - 29th September 2026
- 2026 in LLMs (so far) - 27th September 2026