Business Meaning Beats Raw Retrieval

What this chapter covers

Retrieval-augmented generation looks like a context strategy but is closer to search with extra steps. This chapter shows why naive RAG hits a ceiling in the enterprise and what a real meaning-first approach adds on top: metrics, relationships, permissions, and the definitions that make an answer actually correct.

Key takeaways

• The four failure modes of naive RAG at enterprise scale
• Why 'the chunks are relevant' is not the same as 'the answer is right'
• How business metrics and definitions raise accuracy more than a bigger vector index
• When RAG is enough and when you need a semantic layer behind it
• A checklist to audit whether your current RAG stack is retrieval or context