Open Knowledge Format (OKF)Imagine asking your company's AI assistant: “What is our approved definition of net revenue, which payment tables should I use, and did the refund policy change last quarter?” A conventional RAG ass2A2d ago · 12 min readsanjaysorathiya.hashnode.dev
Vectorless RAG: Can We Build RAG Without a Vector Database?Vector databases are one way to retrieve context for a language model. They are useful, widely adopted, and often a good default. They are not the definition of retrieval-augmented generation (RAG), t1Oct 13 · 12 min readsanjaysorathiya.hashnode.dev
The Decision Layer Revolution: Why AI Apps Need a Decision LayerIn production AI software today, a surprisingly large percentage of LLM calls don't actually require generating open-ended text. Instead, they are making tiny, deterministic choices: Which team gets tOct 7 · 3 min readsanjaysorathiya.hashnode.dev
Understanding Retrieval-Augmented Generation (RAG) ArchitectureWhat RAG is and why it was introduced? imagine hiring an over-enthusiastic new employee who refuses to read any current news but still answers every question you ask with absolute, unwavering confidenJul 12 · 5 min readsanjaysorathiya.hashnode.dev
The Complete Dummies’ Guide to LLMs chit chatConversational AI like ChatGPT feels magical: you type a question and get a relevant, fluent reply within seconds. Behind that instant reply lies a stack of ideas and algorithms that turn your words iJul 1 · 6 min readsanjaysorathiya.hashnode.dev
