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Data Thinking Notes
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Data Thinking Notes

Sharing insights on data architecture, governance, and middle platforms, exploring AI in data, and linking data with business scenarios.

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Recent Articles

Latest from Data Thinking Notes

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Data Thinking Notes
Data Thinking Notes
Aug 17, 2025 · Artificial Intelligence

Unlocking AI Agents: From Basics to Real-World Development

This article provides a comprehensive overview of AI Agents, covering their fundamental concepts, core features, technical evolution, work cycle, architectural modules, key technologies such as prompt engineering and RAG, practical development steps, a data‑analysis agent case study, and typical industry applications.

AI AgentAgent architectureArtificial Intelligence
0 likes · 13 min read
Unlocking AI Agents: From Basics to Real-World Development
Data Thinking Notes
Data Thinking Notes
Aug 3, 2025 · Artificial Intelligence

Choosing the Right AI Agent Framework: LangGraph, AutoGen, Dify, and More

This article offers a detailed comparison of leading AI agent development frameworks—including LangGraph, AutoGen, Dify, Coze, MetaGPT, and OpenAI Agents—across core positioning, technical features, typical use cases, cost models, community support, and official resources, followed by practical selection guidance for various business scenarios.

AI agentsAutoGenDify
0 likes · 10 min read
Choosing the Right AI Agent Framework: LangGraph, AutoGen, Dify, and More
Data Thinking Notes
Data Thinking Notes
Jul 30, 2025 · Artificial Intelligence

Tracing the Evolution of Large Language Models: Key Papers and Breakthroughs

This article reviews the most influential papers in large language model research since 2017, covering foundational works such as the Transformer, GPT‑3, BERT, scaling laws, and recent innovations like FlashAttention, Mamba, and QLoRA, highlighting their core contributions and impact on AI development.

AI researchModel OptimizationTransformer
0 likes · 28 min read
Tracing the Evolution of Large Language Models: Key Papers and Breakthroughs
Data Thinking Notes
Data Thinking Notes
Jul 27, 2025 · Databases

How Dify Turns Natural Language into SQL: Building Scalable Text2SQL Apps

This article explains how Text2SQL technology converts natural language queries into executable SQL using large language models, and demonstrates how the open‑source Dify platform’s visual workflow and component‑based development dramatically lower the barrier for building, validating, and deploying secure, low‑code Text2SQL applications.

AIDifyLLM
0 likes · 13 min read
How Dify Turns Natural Language into SQL: Building Scalable Text2SQL Apps
Data Thinking Notes
Data Thinking Notes
Jul 22, 2025 · Artificial Intelligence

How AI Agents Are Driving the Next Wave of Industry Efficiency

This report examines the rise of AI agents as the primary form of large‑model applications, detailing their development overview, core technologies, industry use cases, current challenges, and strategic recommendations to accelerate the integration of artificial intelligence with the real economy.

AI agentsAI applicationsindustry integration
0 likes · 8 min read
How AI Agents Are Driving the Next Wave of Industry Efficiency
Data Thinking Notes
Data Thinking Notes
Jul 20, 2025 · Artificial Intelligence

Mastering Context Engineering: Boost LLM Performance with Advanced Techniques

Context Engineering, a new discipline for optimizing large language model inputs, expands context windows, compares with prompt engineering, outlines core techniques like information organization, dynamic management, semantic retrieval, and offers practical applications and recommendations to enhance AI performance across domains.

AI OptimizationSemantic Retrievallarge language models
0 likes · 11 min read
Mastering Context Engineering: Boost LLM Performance with Advanced Techniques
Data Thinking Notes
Data Thinking Notes
Jul 13, 2025 · Artificial Intelligence

How to Build an Enterprise Knowledge Base with Dify: Full Setup Guide

This article walks developers through the entire process of deploying Dify locally, configuring model providers, creating and segmenting a knowledge base with RAG, choosing indexing methods, and integrating the knowledge base into a chatbot application, complete with code snippets and visual guides.

AI DeploymentDifyKnowledge Base
0 likes · 11 min read
How to Build an Enterprise Knowledge Base with Dify: Full Setup Guide
Data Thinking Notes
Data Thinking Notes
Jul 10, 2025 · Artificial Intelligence

What Are China's Top 10 AI Trends for 2025? Insights from Gartner

Gartner's 2025 China AI Top Ten Trends report outlines ten key directions—including open‑source GenAI models, self‑built strategies, agent AI, frugal solutions, engineering focus, collaborative defense, talent growth, ubiquitous adoption, inclusive ecosystems, and data‑driven AI—while providing forecasts through 2030.

AIAI securityAI trends
0 likes · 9 min read
What Are China's Top 10 AI Trends for 2025? Insights from Gartner