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
- Experimenting with Starlette 1.0 with Claude skills - 22nd March 2026
- Profiling Hacker News users based on their comments - 21st March 2026
- Thoughts on OpenAI acquiring Astral and uv/ruff/ty - 19th March 2026