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
- LLM 0.32a0 is a major backwards-compatible refactor - 29th April 2026
- Tracking the history of the now-deceased OpenAI Microsoft AGI clause - 27th April 2026
- DeepSeek V4 - almost on the frontier, a fraction of the price - 24th April 2026