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How RAG Actually Works: A Beginner-Friendly Guide

Knowledge base augmentation Retrieval-Augmented Generation (RAG) is a design pattern that addresses both the two LLM limitations (a) Their knowledge is frozen at training time (b) They don’t “see” your private data (unless you explicitly give it to them). Instead of asking the model to rely solely on what’s stored in its internal parameters, you let […]

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Simple 3-agent AI workflow example with Planner, Researcher, and Writer agents

Multi-Agent Workflow: Step-by-Step Guide to Building AI Agent Workflows

Multi-Agent Workflow: Step-by-Step Guide to Building One Multi-agent workflows make AI more reliable and modular. Instead of relying on one large prompt, you break down the work into several specialists — planners, researchers, and writers. This beginner guide walks you through the exact steps needed to build your first simple multi-agent system with clear examples.

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