What enterprise RAG actually has to get right
Retrieval is now described as the foundation tier that grounds agents in real enterprise data. Getting it right is mostly about retrieval quality, permission-aware filtering, and knowing when to refuse.
From RAG to GraphRAG: when vector search isn’t enough for legal, finance, and engineering docs
Vector search finds chunks similar to your query — that’s the whole mechanism. For legal contracts, financial filings, and engineering BoMs where relationships between entities matter, similarity isn’t structure. A practical guide to GraphRAG and the hybrid retrieval pattern that fits most enterprises.
Why your RAG system gets worse over time — and how to fix retrieval drift before users complain
The first 90 days, your RAG system feels accurate. By month five it’s firefighting. Four drift drivers, four detection signals, three embedding refresh strategies, and the operational practices that catch the regression in dashboards instead of customer complaints.
Showing 3 of 3 articles in Retrieval & RAG.