Author

AI Illustrated Series

Illustrated hardcore tech: AI, agents, algorithms, databases—one picture worth a thousand words.

Articles

Likes

Views

Comments

Latest from AI Illustrated Series

26 recent articles

AI Illustrated Series

Jul 15, 2026 · Artificial Intelligence

Interviewer's Guide: Four Key Factors for Choosing an Embedding Model

The article explains how to select an embedding model by evaluating language support, vector dimension, context length, and performance metrics, provides concrete model examples for Chinese and multilingual scenarios, compares storage costs, and recommends starting with open‑source models before considering commercial APIs.

Context LengthEmbeddingModel Selection

0 likes · 6 min read

Interviewer's Guide: Four Key Factors for Choosing an Embedding Model

AI Illustrated Series

Jul 13, 2026 · Artificial Intelligence

Building Enterprise‑Grade AI Agents in Java in 3 Days

This article walks Java developers through turning Spring AI into an enterprise‑grade AI agent that can query internal databases, access a vector‑based knowledge base, enforce role‑based permissions, persist chat sessions in Redis, add full observability, and be container‑deployed with Docker and Kubernetes.

AI AgentDockerJava

0 likes · 10 min read

Building Enterprise‑Grade AI Agents in Java in 3 Days

AI Illustrated Series

Jul 11, 2026 · Artificial Intelligence

Turn Java Methods into AI Agent Tools with @Tool Annotation – Day 2 of 3‑Day Spring AI Crash Course

This article explains how to equip a Spring AI Agent with real‑world capabilities by annotating Java methods with @Tool, registers those tools for the agent, demonstrates single‑ and multi‑tool orchestration, and shows how the Advisor mechanism brings AOP‑style processing such as RAG and memory management into AI workflows.

AI AgentAdvisorBackend Development

0 likes · 10 min read

Turn Java Methods into AI Agent Tools with @Tool Annotation – Day 2 of 3‑Day Spring AI Crash Course

AI Illustrated Series

Jul 8, 2026 · Interview Experience

How to Design a Multi‑Agent Collaborative Office Assistant System

The article outlines a practical interview‑style design for a multi‑agent office assistant, detailing role specialization, task allocation flow, three communication patterns, conflict‑resolution strategies, and concrete usage scenarios such as meeting scheduling, weekly reporting, and sales data analysis.

communication patternsconflict resolutionmulti-agent

0 likes · 5 min read

How to Design a Multi‑Agent Collaborative Office Assistant System

AI Illustrated Series

Jul 1, 2026 · Artificial Intelligence

How Would You Architect a Data Analysis Agent? Interview Guide

The article outlines a four‑layer architecture for a data analysis agent—intent recognition, data acquisition via NL2SQL, analysis execution, and result presentation—while detailing practical methods to boost NL2SQL accuracy and illustrating real‑world e‑commerce, operations, and finance use cases.

Agent designNL2SQLSQL Safety

0 likes · 5 min read

How Would You Architect a Data Analysis Agent? Interview Guide

AI Illustrated Series

Jun 24, 2026 · Artificial Intelligence

From Clicks to Calls: Translating React Page Interactions into AI Agent Tool Invocations

The article explains how traditional React page interactions—where developers hard‑code each step—contrast with AI Agent interactions, where a language model decides which tools to call, and shows front‑end developers how to map event handlers to LangChain.js tools, choose between Chain and Agent architectures, and build a multi‑tool Agent with concrete TypeScript examples.

AI AgentJavaScriptLangChain

0 likes · 9 min read

From Clicks to Calls: Translating React Page Interactions into AI Agent Tool Invocations

AI Illustrated Series

Jun 17, 2026 · Artificial Intelligence

Build a Go AI Agent in 3 Days: Hands‑On RAG + ReAct Implementation

This tutorial walks Go developers through creating a fully functional AI Agent using Eino, covering knowledge‑base indexing with VikingDB, defining retrieval, weather, and web‑search tools, assembling a ReAct graph, running interactive queries, and adapting the demo for production environments.

AI AgentEinoOpenAI

0 likes · 14 min read

Build a Go AI Agent in 3 Days: Hands‑On RAG + ReAct Implementation

AI Illustrated Series

Jun 8, 2026 · Artificial Intelligence

AI Agent Learning Roadmap for Career Switch – Bookmark This Guide

This article provides a comprehensive, up‑to‑date map of all AI Agent learning resources—including basics, enterprise‑grade customer‑service projects, interview question collections, daily practice, industry trends, multi‑language tutorials, and a supporting website—so newcomers and seasoned readers can quickly locate the content they need.

AI AgentAI Customer ServiceFunction Calling

0 likes · 8 min read

AI Agent Learning Roadmap for Career Switch – Bookmark This Guide

AI Illustrated Series

Apr 28, 2026 · Artificial Intelligence

Comprehensive Interview Guide: LangChain & LangGraph Frameworks

This article provides a detailed, question‑and‑answer style walkthrough of LangChain and LangGraph, covering their core concepts, components, workflow patterns, memory mechanisms, LCEL syntax, graph construction, conditional edges, loops, multi‑agent collaboration, persistence, and a comparison with LlamaIndex, offering concrete code examples and practical insights for AI interview preparation.

AI frameworkAgentLCEL

0 likes · 32 min read

Comprehensive Interview Guide: LangChain & LangGraph Frameworks

AI Illustrated Series

Apr 27, 2026 · Artificial Intelligence

Comprehensive RAG Interview Q&A: 22 In-Depth Questions and Answers

This extensive interview guide covers 22 core RAG questions, detailing the definition, workflow, embedding selection, vector database choices, retrieval optimization, multi‑turn handling, context compression, evaluation metrics, knowledge‑graph integration, operational challenges, Agentic and hybrid RAG, document update strategies, similarity algorithms, and hallucination mitigation, providing concrete examples and practical advice for AI interview preparation.

AI interviewEmbeddingKnowledge Retrieval

0 likes · 29 min read

Comprehensive RAG Interview Q&A: 22 In-Depth Questions and Answers