Shraddha Bharuka

@BharukaShraddha

RAG was supposed to make LLMs smarter. Give them memory. Ground them in facts. But most RAG today is just: Search → Paste → Pray. That’s not intelligence. That’s copy-paste with extra steps. The real shift? Agents now control retrieval itself. They don’t just fetch docs. They reason before retrieving. They reason after retrieving. Sometimes… they don’t retrieve at all. Instead of: ❌ “Embed the query” They ask: ✅ “What do I actually need?” Instead of: ❌ Dumping 10 chunks They plan: ✅ “Which source matters for THIS question?” Memory becomes real. Tools become choices. The LLM becomes part of a thinking system. That’s Agentic RAG. Not better search. A different architecture. Once you see it run enterprise workflows… vanilla RAG feels incomplete.