Why modern AI coding agents often use grep, file reads, symbols, and tests before reaching for vector RAG.
RAG Is Not Always the Answer Anymore: How AI Agents Search Code in 2026
For the last couple of years, "add RAG" became the default answer to almost every AI product question.
Need the model to understand docs? Add RAG.
Need it to answer questions over a repo? Add RAG.
Need it to stop hallucinating? Add RAG and pray a little.
RAG sounds complicated. It's not. But a lot of introductions to RAG make it sound more mysterious...
RAG systems can retrieve correct, well-cited information and still get the answer wrong. Not because the source is bad, but…
Introduction Here is a scenario many RAG builders know well, you wire up a pipeline, load...
Most teams building LLM applications start with RAG for a good reason. It is practical, easy to...
The Difference Between Code and Documents Split a Python file into 1000-character chunks...
An architecture-focused comparison of Graph RAG and vector RAG: chunking, storage, retrieval behavior, trade-offs, and hybrid…
