This is my learning note about Retrieval Augmented Generation (RAG) from two sources: RAG-Driven Generative AI, Advanced RAG: Architecture, techniques, applications and use cases and development, and Enhanced Agentic-RAG. Retrieval Augmented Generation (RAG) Retrieval-Augmented Generation (RAG) as a system architecture designed to address fundamental limitations of Large Language Models (LLMs), specifically hallucination, stale knowledge, and … Continue reading Retrieval Augmented Generation (RAG) – Curated Information
Category: AI
Strategic Decisions That Shaped NVIDIA’s Dominance
This is the summary of the book "エヌビディア 半導体の覇者が作り出す2040年の世界 (津田 建二" (Vietnamese title: NVIDIA - Gã Khổng Lồ Công Nghệ Thống Trị Chip Bán Dẫn AI by Tsuda Kenji) The rise of NVIDIA is often explained as a story of technical superiority in GPUs. That explanation is incomplete. NVIDIA’s dominance is the result of a … Continue reading Strategic Decisions That Shaped NVIDIA’s Dominance
How Large Language Models Are Built and How They Actually Work
As we interact with AI today, it is easy to think the AI is actually thinking or aware. We ask a question, and a coherent, often insightful answer appears almost instantly. The experience feels conversational, intentional, sometimes even intelligent. However, as professionals working in technology and digital transformation, it is critical to look beyond the … Continue reading How Large Language Models Are Built and How They Actually Work
Production-Grade Multi-Agent Architecture
As enterprises move from GenAI experimentation to real production systems, the conversation shifts quickly. The challenge is no longer about prompt quality or which LLM is “better.” The real question becomes: how do we design an end-to-end, multi-agent platform that is observable, governable, testable, and scalable? From my perspective, it requires a unified platform mindset, … Continue reading Production-Grade Multi-Agent Architecture
Agentic Design Pattern: P22 – Exploration & Discovery – Beyond the Known
Great agents don’t just solve known problems — they discover new opportunities.— Khi Agent không chỉ “trả lời”, mà khám phá điều chưa ai hỏi. ⚙️ At a Glance Thành phầnMô tả ngắn gọnWhatExploration & Discovery Pattern giúp Agent khám phá thông tin, ý tưởng, hoặc hướng giải pháp mới ngoài dữ liệu hoặc nhiệm … Continue reading Agentic Design Pattern: P22 – Exploration & Discovery – Beyond the Known
Agentic Design Pattern: P21 – Prioritization Pattern – Doing the Right Things First
Intelligence isn’t doing everything — it’s knowing what matters most.— Khi Agent không chỉ làm nhanh, mà làm đúng thứ cần ưu tiên. ⚙️ At a Glance Thành phầnMô tả ngắn gọnWhatPrioritization Pattern giúp Agent xác định thứ tự ưu tiên giữa các mục tiêu, hành động, hoặc nhiệm vụ, dựa trên tiêu chí định … Continue reading Agentic Design Pattern: P21 – Prioritization Pattern – Doing the Right Things First
Agentic Design Pattern: P20 – Evaluation & Monitoring – What Gets Measured, Gets Improved
Agents that act without being measured can’t be trusted.Agents that are measured can be managed — and improved. ⚙️ At a Glance Thành phầnMô tả ngắn gọnWhatEvaluation & Monitoring Pattern thiết lập cơ chế quan sát, đo lường và đánh giá hiệu suất, độ chính xác, đạo đức và ổn định của các Agent trong … Continue reading Agentic Design Pattern: P20 – Evaluation & Monitoring – What Gets Measured, Gets Improved
Agentic Design Pattern: P19 – Guardrails / Safety Patterns – Freedom Needs Boundaries
Autonomy without safety is risk.Safety without autonomy is useless.Balance builds trust. ⚙️ At a Glance Thành phầnMô tả ngắn gọnWhatGuardrails / Safety Pattern giúp kiểm soát, lọc và giám sát hành vi của Agent để đảm bảo an toàn, tuân thủ và đáng tin cậy trong suốt vòng đời reasoning và action.WhyVì Agentic AI có … Continue reading Agentic Design Pattern: P19 – Guardrails / Safety Patterns – Freedom Needs Boundaries
Agentic Design Pattern: P18 – Reasoning Techniques – How Agents Think
Action makes an agent useful; reasoning makes it intelligent.— Khi AI không chỉ thực hiện lệnh, mà hiểu, lập luận và quyết định có logic. ⚙️ At a Glance Thành phầnMô tả ngắn gọnWhatReasoning Techniques Pattern mô tả các phương pháp suy luận mà Agent sử dụng để phân rã vấn đề, kiểm tra kết … Continue reading Agentic Design Pattern: P18 – Reasoning Techniques – How Agents Think
Agentic Design Pattern: P17 – Resource-Aware Optimization – Do More, With Less
A truly intelligent agent doesn’t just think — it optimizes.— Khi trí tuệ nhân tạo bắt đầu hiểu giá trị của tài nguyên, không chỉ kết quả. ⚙️ At a Glance Thành phầnMô tả ngắn gọnWhatResource-Aware Optimization Pattern giúp Agent ra quyết định có cân nhắc đến tài nguyên giới hạn (thời gian, chi phí, … Continue reading Agentic Design Pattern: P17 – Resource-Aware Optimization – Do More, With Less