googles-nano-banana.hashnode.devWhy Building AI Agents Often Fails (And What That Says About Modern AI)AI agents have become one of the most talked-about ideas in modern artificial intelligence. From autonomous task execution to multi-step reasoning systems, agents promise a future where AI can plan, act, learn from feedback, and improve over time. On...Jan 28·4 min read
googles-nano-banana.hashnode.devGraphRAG : The AI That Connects the Dots You Can TrustIntroduction Large Language Models (LLMs) are everywhere—powering chatbots, virtual assistants, content generation, and coding helpers. But even the most advanced LLMs have a weak spot: they can confidently give wrong answers, especially for multi-st...Jan 19·3 min read
googles-nano-banana.hashnode.devMaking AI Answers Smarter with Gemini File Search (RAG Without the Headache)We’ve all had that moment. You upload a document, ask an AI a very specific question… …and the answer sounds confident but slightly off. Not wrong enough to reject outright. Not right enough to trust either. That’s not an AI failure — it’s a context ...Jan 13·4 min read
googles-nano-banana.hashnode.devThere Is No Best LLM : Why Single-Model GenAI Systems Fail in ProductionEvery GenAI discussion eventually hits the same question : “Which LLM should we use?” It sounds like the right question. It feels practical. It feels decisive. It’s also the wrong place to start. After working on real GenAI projects — chatbots, RAG...Jan 7·5 min read
googles-nano-banana.hashnode.devReAct Agent Pattern Explained : AI Reasoning + ActionReasoning + Action Explained in a Simple, Practical Way When we talk about AI agents, the conversation often jumps straight to autonomy, multi-agent systems, and complex architectures. But at the core of many effective agentic systems lies a simple i...Dec 31, 2025·5 min read
