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AI Illustrated Series
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AI Illustrated Series

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

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Recent Articles

Latest from AI Illustrated Series

29 recent articles
AI Illustrated Series
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 Customer ServiceAI agentFunction Calling
0 likes · 8 min read
AI Agent Learning Roadmap for Career Switch – Bookmark This Guide
AI Illustrated Series
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
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
AI Illustrated Series
AI Illustrated Series
Apr 26, 2026 · Artificial Intelligence

AI Agents: Limits, Future Trends, and Real Opportunities Explained

The article examines AI agents' five key limitations—reliability, cost, speed, context window, and tool ecosystem—then outlines five emerging trends, multiple market opportunities, and practical advice for entrepreneurs and users, emphasizing why agents are a pivotal step toward actionable AI.

AI agentAgent platformsSecurity
0 likes · 15 min read
AI Agents: Limits, Future Trends, and Real Opportunities Explained
AI Illustrated Series
AI Illustrated Series
Apr 26, 2026 · Artificial Intelligence

15 Real-World AI Agent Use Cases You Can Deploy Today

The article outlines fifteen mature AI Agent scenarios across office productivity, customer service, software development, and data analysis, explains how each works, ranks their readiness, and discusses why some applications are ready for large‑scale use while others remain experimental.

AI agentAutomationCode Assistant
0 likes · 14 min read
15 Real-World AI Agent Use Cases You Can Deploy Today
AI Illustrated Series
AI Illustrated Series
Apr 26, 2026 · Artificial Intelligence

Build Your First LangChain Agent: A Hands‑On Framework Tutorial

This article walks through a practical, step‑by‑step construction of a LangChain agent—from basic concepts and a simple weather‑query agent to a more complex market‑research agent, adding memory and RAG capabilities, and finally comparing LangChain with LangGraph.

AI agentLangChainPython
0 likes · 15 min read
Build Your First LangChain Agent: A Hands‑On Framework Tutorial
AI Illustrated Series
AI Illustrated Series
Apr 25, 2026 · Artificial Intelligence

How AI Agents Remember Everything: A Deep Dive into Memory System Design

The article explains why large language models lack persistent memory, introduces a three‑layer memory architecture for AI agents—sensory, working, and long‑term memory—and details how vector databases, embedding models, and retrieval strategies enable cross‑session knowledge retention and personalized assistance.

AI agentEmbeddingLong-Term Memory
0 likes · 24 min read
How AI Agents Remember Everything: A Deep Dive into Memory System Design
AI Illustrated Series
AI Illustrated Series
Apr 25, 2026 · Artificial Intelligence

From "Can Talk" to "Can Act": Deep Dive into Function Calling for AI Agents

The article explains how Function Calling enables large language model agents to overcome knowledge staleness and hallucination by invoking external tools—such as search, email, code execution, and databases—to fetch real‑time data, perform actions, and deliver verifiable, multi‑step responses.

AI AgentsFunction CallingLLM
0 likes · 25 min read
From "Can Talk" to "Can Act": Deep Dive into Function Calling for AI Agents
AI Illustrated Series
AI Illustrated Series
Apr 25, 2026 · Artificial Intelligence

How Agents Work: Inside Their Perception, Planning, Action, and Memory

This article breaks down an AI agent's workflow—perception, planning, action, and memory—using a product‑launch example, explains reasoning methods like Chain‑of‑Thought and ReAct, details tool integration, memory types, common failure modes, and why planning and tool ecosystems are essential.

AI agentReactTool Integration
0 likes · 11 min read
How Agents Work: Inside Their Perception, Planning, Action, and Memory