VTVikas TCinvikas-tc.hashnode.dev·Aug 22, 2025 · 4 min readAdvanced RAG: Making Your AI Smarter Without Burning a Hole in Your GPUSo you’ve built a Retrieval-Augmented Generation (RAG) system. Congrats! 🎉 It fetches documents, stuffs them into your LLM, and spits out answers that (hopefully) make sense. But here’s the thing: vanilla RAG is like instant noodles—fast and easy, b...00
VTVikas TCinvikas-tc.hashnode.dev·Aug 20, 2025 · 2 min readRAG Fails (And How to Not Look Dumb)When RAG Goes Wrong: Common Failures & Quick Fixes RAG is awesome… until it isn’t. You set up your shiny retriever + generator pipeline, ask it a question, and boom: the model spits out something so confidently wrong you start doubting your own job. ...00
VTVikas TCinvikas-tc.hashnode.dev·Aug 20, 2025 · 3 min readRAG: When Your LLM Finally Starts Doing Homework ProperlyLarge Language Models (LLMs) are great. They can write poems, debug code, and even explain why your Docker container won’t run (spoiler: it’s usually your fault). But here’s the problem: LLMs are like that one friend who’s very confident yet often wr...00
VTVikas TCinvikas-tc.hashnode.dev·Aug 17, 2025 · 3 min readAgentic AI: When AI Stops Talking and Starts DoingWe’ve all seen chatbots that sound smart but can’t do much beyond giving you “helpful” advice like “Have you tried turning it off and on again?” Enter Agentic AI — the version of AI that doesn’t just talk but actually acts. So, What Exactly Is an AI ...00
VTVikas TCinvikas-tc.hashnode.dev·Aug 15, 2025 · 2 min readBuilding a Thinking Model from a Non-Thinking Model Using Chain-of-ThoughtLarge Language Models (LLMs) are powerful, but by default, they can behave like instant answer machines — jumping straight to outputs without showing their reasoning. This works for simple queries, but for complex tasks, thinking matters. That’s wher...00