VJVaidik Jaiswalinvjgeekedout.hashnode.dev·Aug 22, 2025 · 4 min readBeyond Retrieval: Advanced RAG Concepts for Scalable and Trustworthy AIIntroduction Retrieval-Augmented Generation (RAG) has rapidly evolved from a clever workaround for LLM hallucinations into a serious architectural pattern for enterprise AI. At its simplest, RAG retrieves relevant documents and injects them into a la...00
VJVaidik Jaiswalinvjgeekedout.hashnode.dev·Aug 22, 2025 · 9 min readCommon Failure Cases in RAG SystemsFigure: A typical Retrieval-Augmented Generation (RAG) pipeline. The user’s query (1) is used to search for relevant documents (2) in the knowledge base. Those top documents are fetched as enhanced context (3–4) and fed with the original prompt to an...00
VJVaidik Jaiswalinvjgeekedout.hashnode.dev·Aug 22, 2025 · 4 min readRetrieval-Augmented Generation (RAG): Teaching AI to Look Things Up Before AnsweringLarge Language Models (LLMs) like ChatGPT, Claude, or Gemini are powerful, but they come with a major limitation: their knowledge is frozen at the point of training. Ask a model trained in 2023 about a 2025 news headline, and it might hallucinate, ma...00
VJVaidik Jaiswalinvjgeekedout.hashnode.dev·Aug 18, 2025 · 3 min readAgentic AI: When Machines Stop Waiting and Start DoingFor years, artificial intelligence has largely been reactive. You ask a question, it answers. You give a command, it obeys. Useful, yes—but limited. It’s like conversing with someone who never takes initiative, never plans ahead, never surprises you ...00
VJVaidik Jaiswalinvjgeekedout.hashnode.dev·Aug 14, 2025 · 4 min readWhen Machines Learn to Pause Before Speaking: The Subtle Power of Chain-of-ThoughtImagine you’re watching a magician. He pulls a card from his pocket, waves his hand, and - voilà - the trick is done. It’s dazzling, but you didn’t see the steps. The flourish hides the process. Large language models (LLMs) can feel a lot like that m...00
