#rag

A story-driven tour of new papers and benchmarks—plus what actually moved the needle in my pipelines, with links and practical takeaways.

Two bugs broke my RAG system last month. The first was self‑inflicted—I nudged top‑k from 8 to 16 “for coverage” and watched answers get longer and less faithful. The second came from a knowledge base that contradicted itself; my agent chee...

Practical design choices and evaluation tactics that make retrieval-augmented generation reliable.

If you've tried retrieval augmented generation (RAG) and come away underwhelmed, I get it. Most disappointing RAG systems fail not because the idea is flawed, but because the pipeline is. The good news: reliable RAG is absolutely attainable...