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Big Data and Microservices
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Big Data and Microservices

Focused on big data architecture, AI applications, and cloud‑native microservice practices, we dissect the business logic and implementation paths behind cutting‑edge technologies. No obscure theory—only battle‑tested methodologies: from data platform construction to AI engineering deployment, and from distributed system design to enterprise digital transformation.

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Recent Articles

Latest from Big Data and Microservices

86 recent articles
Big Data and Microservices
Big Data and Microservices
Apr 27, 2026 · Artificial Intelligence

How ReAct and Reflection Help AI Agents Avoid Repeating the Same Mistake

Most AI agents still fall into the same errors because they lack experience; the article explains how the ReAct loop gives step‑by‑step reasoning and observable actions, while Reflection adds a post‑task self‑review that stores concrete lessons in long‑term memory, and discusses the benefits and pitfalls of combining the two.

AI agentsLLMReAct
0 likes · 12 min read
How ReAct and Reflection Help AI Agents Avoid Repeating the Same Mistake
Big Data and Microservices
Big Data and Microservices
Apr 24, 2026 · Artificial Intelligence

How to Keep System Complexity in Check for Multi‑Agent Collaboration

The article outlines practical principles and concrete measures—starting with a simple coordinator‑sub‑agent pattern, evolving only when bottlenecks appear, and controlling dimensions such as agent splitting, count, roles, communication, and orchestration—to prevent complexity overload in multi‑agent AI systems, and adds runtime safeguards and a step‑by‑step deployment roadmap.

AI agentsMulti‑agent collaborationRuntime protection
0 likes · 7 min read
How to Keep System Complexity in Check for Multi‑Agent Collaboration
Big Data and Microservices
Big Data and Microservices
Apr 21, 2026 · Artificial Intelligence

How Multi‑Agent AI Teams Transform Complex Projects: From Theory to Real‑World Use Cases

This article explains multi‑agent AI collaboration, outlines its core characteristics, breaks down the technical workflow of task decomposition, role assignment, communication and conflict resolution, compares leading frameworks, and showcases three practical scenarios—from financial report automation to game NPC ecosystems and intelligent customer service.

AI CollaborationAI OrchestrationAutomation
0 likes · 12 min read
How Multi‑Agent AI Teams Transform Complex Projects: From Theory to Real‑World Use Cases
Big Data and Microservices
Big Data and Microservices
Apr 20, 2026 · Artificial Intelligence

Why AI Agents Outperform Traditional Apps: From Passive Commands to Goal‑Driven Automation

The article explains how conventional "smart" apps merely react to user commands, while AI Agents combine large language models, tool‑calling capabilities, and explicit goals to autonomously plan, act, and iterate, offering a new software paradigm with both promising use cases and current limitations.

AI AgentAutomationLarge Language Model
0 likes · 13 min read
Why AI Agents Outperform Traditional Apps: From Passive Commands to Goal‑Driven Automation
Big Data and Microservices
Big Data and Microservices
Apr 20, 2026 · Artificial Intelligence

Why AI Hallucinates and How RAG Turns It into an Open‑Book Test

The article explains why large language models often fabricate facts, introduces Retrieval‑Augmented Generation (RAG) as a way to ground responses with external data, walks through its four‑step workflow, showcases practical use cases, and highlights the limitations and best practices for deploying RAG.

AIKnowledge BaseLLM
0 likes · 12 min read
Why AI Hallucinates and How RAG Turns It into an Open‑Book Test
Big Data and Microservices
Big Data and Microservices
Apr 19, 2026 · Artificial Intelligence

Why Do AI Agents Forget? Understanding Short‑Term and Long‑Term Memory

This article explains how AI agents store information using short‑term (context window) and long‑term (vector database, RAG, knowledge graph) memory, illustrates the concepts with everyday analogies, and shows how proper memory design improves real‑world applications like customer service bots and personal assistants.

AI agentsAI memoryKnowledge Graph
0 likes · 6 min read
Why Do AI Agents Forget? Understanding Short‑Term and Long‑Term Memory
Big Data and Microservices
Big Data and Microservices
Apr 18, 2026 · Artificial Intelligence

AI Agent vs. Agentic AI: Key Differences, Use Cases, and Evolution

This article clarifies the concepts of AI Agent and Agentic AI, compares their core definitions, architectures, autonomy, and application scenarios, and uses analogies to illustrate how they complement each other in the evolution from single-task automation to collaborative multi‑agent intelligence.

AI AgentAgentic AIArtificial Intelligence
0 likes · 9 min read
AI Agent vs. Agentic AI: Key Differences, Use Cases, and Evolution
Big Data and Microservices
Big Data and Microservices
Apr 17, 2026 · Industry Insights

What Is a Vector Database? Features, Indexing, and Top Open‑Source Options

This article explains what a vector database is, how it stores and retrieves high‑dimensional vector data, outlines its key characteristics and indexing mechanisms, compares it with traditional databases, and reviews common open‑source vector database solutions such as Milvus, Faiss, Weaviate, PgVector, Chroma, LanceDB, Elasticsearch and Qdrant.

AIEmbeddingindexing
0 likes · 14 min read
What Is a Vector Database? Features, Indexing, and Top Open‑Source Options