A Guide to RAG Patterns and Pipelines with Practical ExamplesIntroduction: Retrieval-Augmented Generation (RAG) has become one of the most powerful ways to improve Large Language Models (LLMs). But when we try to use RAG at scale—like in production apps, customer support systems, or knowledge-heavy chatbots—we...Aug 21, 2025 · 5 min readsoumyodeepdey.dev
Troubleshooting RAG: Typical Issues and Easy RemediesRAG (Retrieval-Augmented Generation) helps AI give better answers by letting it look up documents first. But RAG can still go wrong. Here are five common problems, why they happen, and quick simple fixes. 1) Poor recall What happens:The system can’t...Aug 19, 2025 · 3 min readsoumyodeepdey.dev
RAGs Explained: Your Simple IntroductionWhat is RAG? RAG basically stands for Retrieval Augmented Generation. Think of it as giving your AI assistant a library card so it can look up the latest information before answering your questions. Example : Imagine you're talking to a very smart fr...Aug 19, 2025 · 5 min readsoumyodeepdey.dev
Beginner's Guide to Agentic AI with JavaScript: A Practical ApproachIntroduction: Agentic AI(person) = LLM(Brain) + some helper functions(hands and legs) AI that sets goals, plans, acts, and uses tools (APIs, databases, web search, other programs) to reach those goals, iterating in a loop: Thought → Action → Observat...Aug 16, 2025 · 7 min readsoumyodeepdey.dev
How to Turn a Non-Thinking Model into a Thinking Model: A Starter's GuideIntroduction: Chain-of-Thought (CoT) is a prompting technique that encourages a language model to show its work — i.e., produce intermediate steps — so it can solve multi-step reasoning tasks more reliably. You don’t need to change model weights to g...Aug 15, 2025 · 5 min readsoumyodeepdey.dev