RKRishi Kumar Singhinrishisingh1034.hashnode.dev·Aug 22, 2025 · 3 min readMastering Advanced Retrieval Augmented Generation (RAG): Scaling, Accuracy, and Production PipelinesRetrieval Augmented Generation (RAG) is the engine behind many enterprise-ready chatbots, document assistants, and knowledge copilots. While basic RAG merges search and generation, advanced systems leverage new architectures and methods to ensure acc...00
RKRishi Kumar Singhinrishisingh1034.hashnode.dev·Aug 20, 2025 · 4 min readWhy RAG Systems Fail (and How to Fix Them): Common Pitfalls and Fast MitigationsRetrieval Augmented Generation (RAG) has opened the door for Large Language Models to become more trustworthy and useful by grounding them in external data—your documents, knowledge bases, support tickets, or legal texts. But even the best RAG setups...00
RKRishi Kumar Singhinrishisingh1034.hashnode.dev·Aug 20, 2025 · 4 min readRetrieval Augmented Generation (RAG): Making AI Smarter with Your DataRetrieval Augmented Generation, or RAG, is taking the AI world by storm. It helps models like ChatGPT deliver relevant, up-to-date, and fact-based answers by tapping into your own documents, not just what they were trained on. But how does it actuall...00
RKRishi Kumar Singhinrishisingh1034.hashnode.dev·Aug 18, 2025 · 4 min readDemystifying Agentic AI: What Are AI Agents, How Do They Work, and Why Tools MatterArtificial Intelligence has entered a new era—one where software doesn’t just process data but acts with intention. This era is powered by Agentic AI: systems of autonomous agents that can perceive, reason, act, and learn, all while using a growing s...00
RKRishi Kumar Singhinrishisingh1034.hashnode.dev·Aug 15, 2025 · 3 min readA Thinking Model from a Non-Thinking Model with Chain-of-ThoughtAI is getting smarter, but not all language models truly “think” when solving tough problems. Some act like parrots—repeating what they’ve seen before—while others can break down problems step by step, much like humans. The secret behind this transfo...00
