@Soumyodeep09

A Guide to RAG Patterns and Pipelines with Practical Examples

Aug 21, 2025 · 5 min read · Introduction: 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...

Troubleshooting RAG: Typical Issues and Easy Remedies

Aug 19, 2025 · 3 min read · RAG (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...

RAGs Explained: Your Simple Introduction

Aug 19, 2025 · 5 min read · What 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...

Beginner's Guide to Agentic AI with JavaScript: A Practical Approach

Aug 16, 2025 · 7 min read · Introduction: 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...

How to Turn a Non-Thinking Model into a Thinking Model: A Starter's Guide

Aug 15, 2025 · 5 min read · Introduction: 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...