From zero to a RAG system: successes and failures
Building a production RAG system is far more about data pipelines, indexing strategy, and infrastructure tradeoffs than model choice, with most failures coming from scaling, retrieval quality, and compute constraints. The key lesson is that RAG success depends on iterative engineering and system design discipline, not just plugging in an LLM, with real-world performance shaped by bottlen...
https://en.andros.dev/blog/aa31d744/from-zero-to-a-rag-system-successes-and-failures/
Building a production RAG system is far more about data pipelines, indexing strategy, and infrastructure tradeoffs than model choice, with most failures coming from scaling, retrieval quality, and compute constraints. The key lesson is that RAG success depends on iterative engineering and system design discipline, not just plugging in an LLM, with real-world performance shaped by bottlen...
https://en.andros.dev/blog/aa31d744/from-zero-to-a-rag-system-successes-and-failures/
en.andros.dev
From zero to a RAG system: successes and failures | Andros Fenollosa
A few months ago I was tasked with creating an internal tool for the company's engineers: a Chat that used a local LLM. Nothing extraordinary so far.