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DaTaobao Tech
DaTaobao Tech
May 25, 2026 · Artificial Intelligence

Scaling to Ten‑Thousand QPS: Lessons from Building a Real‑Time Product‑Domain Agent

The article details how the product team tackled AI‑driven challenges by designing a two‑layer, event‑driven Function‑Centric Agent architecture that unifies workflow orchestration and capability supply, enabling real‑time inference for billions of items, cutting development cycles to one person‑week, and boosting search conversion rates.

AIFunctionFunction CallingKnowledge Base
0 likes · 29 min read
Scaling to Ten‑Thousand QPS: Lessons from Building a Real‑Time Product‑Domain Agent
AI Architecture Hub
AI Architecture Hub
May 21, 2026 · Artificial Intelligence

Build a Personal Claude AI Workspace Anyone Can Use

The article explains why repeatedly re‑introducing yourself to Claude wastes time and presents a six‑layer, 18‑action framework for creating a personal AI workspace—Project organization, custom instructions, knowledge bases, task clarification, output control, context governance, and feedback—to turn Claude into a dedicated, efficient assistant.

AI productivityAI workspaceClaude
0 likes · 16 min read
Build a Personal Claude AI Workspace Anyone Can Use
Tech Minimalism
Tech Minimalism
May 20, 2026 · Artificial Intelligence

How Karpathy’s Markdown Wiki Redefines LLM Knowledge Management

The article examines the LLM Wiki concept introduced by Karpathy, explaining how a Markdown‑based wiki maintained outside the LLM context can persist and evolve model understanding, compares it with RAG, note‑taking tools and traditional knowledge bases, and outlines architectural components, risks, and practical guidelines.

AIKnowledge BaseLLM
0 likes · 14 min read
How Karpathy’s Markdown Wiki Redefines LLM Knowledge Management
James' Growth Diary
James' Growth Diary
May 18, 2026 · Artificial Intelligence

Turning AI’s Short‑Term Memory into a Persistent Knowledge Base with memdir

This article examines Claude Code’s memdir system, explaining how it transforms fleeting AI conversation context into a durable, file‑based knowledge base by using markdown files as memories, a lightweight index, AI‑driven relevance selection, parallel prefetching, and careful type‑specific guidelines.

AI memoryClaude CodeKnowledge Base
0 likes · 17 min read
Turning AI’s Short‑Term Memory into a Persistent Knowledge Base with memdir
Bilibili Tech
Bilibili Tech
May 15, 2026 · Frontend Development

Building an AI‑Powered Frontend Development Workflow with Bili‑FE

This article details how the Bili‑FE team evolved prompt engineering into a Harness Engineering workflow, creating a structured .workflow knowledge base and a series of AI‑driven commands that automate the entire frontend development lifecycle from requirement preprocessing to testing and mock generation.

AIAutomationFrontend
0 likes · 20 min read
Building an AI‑Powered Frontend Development Workflow with Bili‑FE
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
May 12, 2026 · Artificial Intelligence

Treating Automated Testing as AI Coding: Xiaohongshu GUI Agent Real‑World Review

During the 2026 Spring Festival promotion, Xiaohongshu replaced manual UI testing with a three‑layer AI‑driven GUI Agent that executed over 43,000 runs across 106 devices and 128 scenarios, achieving 58% automation, 82% AI‑generated case adoption, 68% bug recall, 98% stability and roughly $1 per test case while drastically cutting token costs.

AI codingCode-as-ActionGUI Agent
0 likes · 23 min read
Treating Automated Testing as AI Coding: Xiaohongshu GUI Agent Real‑World Review
Architecture Digest
Architecture Digest
May 12, 2026 · Artificial Intelligence

Tencent Open‑Sources WeKnora: An AI‑Powered Document Understanding Framework

WeKnora, Tencent's newly open‑source framework built on the IMA kernel, combines LLM and RAG to parse unstructured PDFs, Word files and scans with over 300% speed improvement and 89% top‑10 retrieval precision, offering modular deployment, secure private‑cloud options, and seamless integration with vector databases and the WeChat ecosystem.

Knowledge BaseLLMOpen Source
0 likes · 8 min read
Tencent Open‑Sources WeKnora: An AI‑Powered Document Understanding Framework
Smart Workplace Lab
Smart Workplace Lab
May 10, 2026 · Artificial Intelligence

When Your Internal AI Is Fed Bad Data, How to Fix It?

The article recounts a real incident where an AI‑generated SOP cited outdated policy because a knowledge base was overloaded with unchecked historical documents, then outlines a step‑by‑step protocol—including corpus cleaning, version locking, and isolation zones—to prevent data contamination and ensure reliable AI outputs.

AIData GovernanceData cleaning
0 likes · 7 min read
When Your Internal AI Is Fed Bad Data, How to Fix It?
AI Step-by-Step
AI Step-by-Step
May 8, 2026 · Artificial Intelligence

How LLM Wiki Transforms Personal Agent Knowledge Management

LLM Wiki, proposed by Andrej Karpathy, replaces repetitive RAG retrieval for personal agents with a three‑layer markdown‑based knowledge base that separates raw sources, curated wiki pages, and schema constraints, enabling durable, auditable memory, structured updates, health checks, and a hybrid Wiki‑RAG workflow.

AIKnowledge BaseLLM Wiki
0 likes · 17 min read
How LLM Wiki Transforms Personal Agent Knowledge Management
Frontend AI Walk
Frontend AI Walk
May 7, 2026 · Operations

Worklog System 2.0: Turn Claude Code Features into a Single CLI Command

The worklog‑cli is a lightweight, zero‑AI‑dependency npm command‑line tool that lets developers record tasks, extract Git commits, and generate weekly or monthly reports with a single command while staying fully compatible with the original Claude Code knowledge base.

AutomationCLIKnowledge Base
0 likes · 13 min read
Worklog System 2.0: Turn Claude Code Features into a Single CLI Command
AndroidPub
AndroidPub
May 7, 2026 · Artificial Intelligence

AI Coding Knowledge Base Best Practices: Rebuilding a Maintainable System with a Three‑Layer Structure

When AI coding assistants like Claude Code, Copilot, and other agents become part of daily development, teams quickly face tangled, ever‑growing configuration files; this article proposes a three‑layer architecture—Base, Flow, and Task—to separate global rules, scenario‑driven processes, and independent tasks, thereby restoring clarity, reusability, and maintainability to AI‑driven workflows.

AI AgentsConfiguration ManagementKnowledge Base
0 likes · 26 min read
AI Coding Knowledge Base Best Practices: Rebuilding a Maintainable System with a Three‑Layer Structure
Java Companion
Java Companion
Apr 27, 2026 · Artificial Intelligence

From Spring Boot 3.5 to an AI OS: One JAR Powers Agents, Knowledge Base, and Toolchain

MateClaw is an open‑source, Java‑centric AI operating system built on Spring Boot 3.5 and Spring AI Alibaba that runs as a single JAR, offering multi‑agent collaboration, a structured wiki‑style knowledge base, tool‑guarded utilities, multi‑model routing, and cross‑channel deployment while keeping all data on‑premises.

AIJavaKnowledge Base
0 likes · 16 min read
From Spring Boot 3.5 to an AI OS: One JAR Powers Agents, Knowledge Base, and Toolchain
Geek Labs
Geek Labs
Apr 25, 2026 · Artificial Intelligence

Boost AI Workflow: Personal Knowledge Base with llm_wiki and Evolving Agents

Unlike typical RAG that discards knowledge after each query, the open‑source tools llm_wiki and SkillClaw let you continuously compile a personal knowledge base and evolve AI agents by incrementally storing documents and session‑derived skills, complete with multi‑step processing, community‑tested benchmarks, and cross‑platform support.

AI AgentsKnowledge BaseLLM Wiki
0 likes · 7 min read
Boost AI Workflow: Personal Knowledge Base with llm_wiki and Evolving Agents
AI Open-Source Efficiency Guide
AI Open-Source Efficiency Guide
Apr 23, 2026 · Artificial Intelligence

LLM Wiki: A Karpathy‑Inspired Personal Knowledge Base Now Available as a Desktop App

LLM Wiki is an open‑source, cross‑platform desktop application that transforms documents into an organized, interlinked knowledge base; unlike traditional RAG it incrementally builds a persistent wiki, offers a three‑layer architecture, Obsidian compatibility, and provides step‑by‑step installation and quick‑start guidance.

Desktop AppKnowledge BaseLLM Wiki
0 likes · 6 min read
LLM Wiki: A Karpathy‑Inspired Personal Knowledge Base Now Available as a Desktop App
Architects' Tech Alliance
Architects' Tech Alliance
Apr 22, 2026 · Industry Insights

Why AI Supernodes and 10,000‑GPU Clusters Will Dominate 2025

The article analyzes how AI supernodes, massive GPU clusters, knowledge‑base activation, embodied intelligence, optical interconnect and open‑source agents like OpenClaw together form a complete AI industry ecosystem in 2025, highlighting performance breakthroughs, domestic competition, market share shifts, and emerging security concerns.

AI supernodesGPU clustersKnowledge Base
0 likes · 16 min read
Why AI Supernodes and 10,000‑GPU Clusters Will Dominate 2025
AndroidPub
AndroidPub
Apr 20, 2026 · Mobile Development

How Google’s Android CLI, Skills, and Knowledge Base Empower AI Agents

Google’s April 2026 release of Android Agent tools—Android CLI, Android Skills, and Android Knowledge Base—shows how a unified, command‑line interface and structured skill packages let AI agents reliably perform standard Android development tasks while staying up‑to‑date with official documentation.

AndroidCLIKnowledge Base
0 likes · 8 min read
How Google’s Android CLI, Skills, and Knowledge Base Empower AI Agents
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
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Apr 18, 2026 · Artificial Intelligence

How an Easysearch AI Assistant Beats RAG Without Using Retrieval‑Augmented Generation

The article details a step‑by‑step case study showing that a well‑engineered AI assistant—built with Flask, DeepSeek, structured prompts, strict output rules, and a lightweight SQLite session store—can achieve high answer quality, traceability and user experience comparable to RAG systems without the overhead of vector retrieval.

AI AssistantEasysearchFlask
0 likes · 11 min read
How an Easysearch AI Assistant Beats RAG Without Using Retrieval‑Augmented Generation
Wuming AI
Wuming AI
Apr 14, 2026 · Industry Insights

Why Chat History Isn't Enough: Building a Personal AI Knowledge Base

The article details a step‑by‑step journey of creating a private, continuously evolving AI knowledge base—from single‑file markdown archives to modular Skills, data sanitization, Git‑based version control, and automated daily curation—showing why richer personal data and closed‑loop feedback are essential for a truly useful AI assistant.

AI AssistantKnowledge BaseOpenClaw
0 likes · 11 min read
Why Chat History Isn't Enough: Building a Personal AI Knowledge Base
DataFunSummit
DataFunSummit
Apr 13, 2026 · Industry Insights

How Kuaishou’s Life Services Data Center Boosted Warehouse Efficiency with AI Agents

In a rapidly growing data‑driven environment, Kuaishou’s Life Services Data Center tackled exploding demand and limited manpower by replacing traditional siloed data‑warehouse practices with AI‑driven intelligent review, DQC, and chatbot solutions, achieving up to 11.34% productivity gains and dramatically improving data quality.

AIAutomationData Warehouse
0 likes · 16 min read
How Kuaishou’s Life Services Data Center Boosted Warehouse Efficiency with AI Agents
AI Open-Source Efficiency Guide
AI Open-Source Efficiency Guide
Apr 4, 2026 · Artificial Intelligence

How to Deploy the Free Open‑Source Enterprise ChatGPT Platform Onyx – Complete Guide

Onyx is a fully open‑source, self‑hosted enterprise RAG platform that integrates any LLM with internal knowledge sources to provide AI chat, intelligent search, custom agents, and automation actions, and this guide walks through its core features, architecture, real‑world use cases, competitor comparison, deployment steps, configuration, best practices, and security compliance.

AI chatbotDeploymentKnowledge Base
0 likes · 15 min read
How to Deploy the Free Open‑Source Enterprise ChatGPT Platform Onyx – Complete Guide
AI Explorer
AI Explorer
Mar 25, 2026 · Cloud Native

How Project N.O.M.A.D. Turns a Raspberry Pi into an Offline Knowledge Fortress

Project N.O.M.A.D. is an open‑source, Docker‑based platform that converts a Raspberry Pi, old laptop or server into a self‑contained offline hub offering AI chat, Wikipedia, educational courses, maps and utility tools, enabling users in remote, disaster‑struck or privacy‑focused environments to access essential digital resources without any network connection.

DockerKnowledge BaseOffline
0 likes · 6 min read
How Project N.O.M.A.D. Turns a Raspberry Pi into an Offline Knowledge Fortress
macrozheng
macrozheng
Mar 25, 2026 · Industry Insights

Explore 30+ Real-World OpenClaw Use Cases to Boost Your AI Automation

This article introduces the open-source "awesome-openclaw-usecases" repository, which curates over 30 practical OpenClaw scenarios across social media, creativity, DevOps, productivity, research, and finance, providing step-by-step instructions and examples to help users quickly adopt AI-driven automation.

AI automationDevOpsGitHub
0 likes · 6 min read
Explore 30+ Real-World OpenClaw Use Cases to Boost Your AI Automation
Old Meng AI Explorer
Old Meng AI Explorer
Mar 4, 2026 · Industry Insights

Three Open‑Source Gems: AI Toolkit, Enterprise AI Platform, and Kinship Calculator

Discover three standout open‑source GitHub projects—a comprehensive AI engineering toolkit for large‑model development, the MaxKB enterprise‑grade AI platform with one‑click deployment and knowledge‑base features, and a Chinese relationship calculator that simplifies kinship titles—each offering practical demos, URLs, and real‑world use cases.

AI ToolkitEnterprise AIGitHub
0 likes · 7 min read
Three Open‑Source Gems: AI Toolkit, Enterprise AI Platform, and Kinship Calculator
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Feb 26, 2026 · Artificial Intelligence

How RAG Gives Large Language Models Their Own Knowledge Base – Illustrated with Easysearch

The article explains why Retrieval‑Augmented Generation (RAG) is needed to overcome large language models' knowledge cut‑off and hallucination issues, details the offline indexing and online retrieval‑generation workflow, compares RAG with fine‑tuning, and shows how Easysearch’s hybrid search makes an effective RAG backbone.

EasysearchHybrid SearchKnowledge Base
0 likes · 10 min read
How RAG Gives Large Language Models Their Own Knowledge Base – Illustrated with Easysearch
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Feb 25, 2026 · Artificial Intelligence

How Hologres Powers Fast Vector & Full‑Text Search for AI‑Driven Customer Service

The Taobao‑Tmall customer operations team built an integrated vector‑plus‑full‑text retrieval solution on Hologres, achieving millisecond‑level recall for massive unstructured knowledge bases, boosting intelligent客服, rule comparison, and sentiment analysis across multiple business scenarios.

AI RetrievalFull-Text SearchHologres
0 likes · 12 min read
How Hologres Powers Fast Vector & Full‑Text Search for AI‑Driven Customer Service
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 14, 2026 · Artificial Intelligence

Revamping AliGo’s AI Travel Assistant: Multi‑Agent Architecture & Prompt Engineering

The AliGo travel platform upgraded its AI assistant by replacing a single‑agent workflow with a modular multi‑agent system, introducing dynamic prompt generation, real‑time reasoning chains, context sharing, observability, and a knowledge base, which dramatically improved accuracy, stability, and user experience.

AI ArchitectureAgentScopeKnowledge Base
0 likes · 19 min read
Revamping AliGo’s AI Travel Assistant: Multi‑Agent Architecture & Prompt Engineering
Architecture and Beyond
Architecture and Beyond
Feb 8, 2026 · Artificial Intelligence

Designing Scalable Long-Term Memory for AI Agents: Capture, Compress, Retrieve

This article explains how to build a controllable, editable, and cost‑effective long‑term memory system for AI agents by categorizing memory types, structuring a three‑stage pipeline of capture, AI‑driven compression, and smart retrieval, and choosing appropriate storage back‑ends such as files, knowledge bases, or databases.

Agent DesignArtificial IntelligenceKnowledge Base
0 likes · 18 min read
Designing Scalable Long-Term Memory for AI Agents: Capture, Compress, Retrieve
PaperAgent
PaperAgent
Feb 4, 2026 · Artificial Intelligence

How Agent KB Enables Cross‑Framework Knowledge Sharing for Smarter AI Agents

The article presents Agent KB, a universal memory infrastructure that lets heterogeneous AI agents share experiences through a Reason‑Retrieve‑Refine pipeline and a teacher‑student dual‑agent architecture, showing significant performance gains across benchmarks like GAIA, SWE‑bench, and various LLM families.

AI AgentsKnowledge BaseMachine Learning
0 likes · 10 min read
How Agent KB Enables Cross‑Framework Knowledge Sharing for Smarter AI Agents
Old Zhang's AI Learning
Old Zhang's AI Learning
Jan 28, 2026 · Artificial Intelligence

RAG-Anything: A Universal RAG Framework for PDFs, Office Docs, and Images

RAG-Anything is an open-source, end-to-end multimodal RAG framework that ingests PDFs, Office files, images, and scientific papers, parses them with high fidelity using MinerU, builds a multimodal knowledge graph, and enables hybrid retrieval, while noting resource and dependency considerations.

AIDocument ProcessingKnowledge Base
0 likes · 7 min read
RAG-Anything: A Universal RAG Framework for PDFs, Office Docs, and Images
Programmer DD
Programmer DD
Jan 15, 2026 · Fundamentals

Unlock Claude.md: 5 Advanced Tricks to Turn Your AI Prompt File into a Living Knowledge Base

This guide reveals five powerful techniques—treating CLAUDE.md as a living document, keeping it concise, modularizing for large projects, respecting case-sensitive filenames, and letting Claude audit its own instructions—to transform a simple config file into a dynamic, evolving project knowledge repository.

AI workflowClaudeConfiguration Management
0 likes · 11 min read
Unlock Claude.md: 5 Advanced Tricks to Turn Your AI Prompt File into a Living Knowledge Base
AI Large Model Application Practice
AI Large Model Application Practice
Jan 13, 2026 · Artificial Intelligence

Why MemOS Is the Next‑Generation Memory OS for AI Agents

This article explains MemOS’s novel approach to treating AI memory as an operating‑system resource, detailing its layered architecture, core modules, three memory forms, and practical SDK usage for cloud or self‑hosted deployments, while highlighting performance benefits and engineering constraints.

AI memoryAgent ArchitectureKnowledge Base
0 likes · 17 min read
Why MemOS Is the Next‑Generation Memory OS for AI Agents
Sohu Tech Products
Sohu Tech Products
Jan 7, 2026 · Artificial Intelligence

Master Retrieval-Augmented Generation (RAG): Concepts, Benefits, Implementation

This article explains Retrieval‑Augmented Generation (RAG), its dual‑stage architecture that combines parametric LLM knowledge with external non‑parametric data, outlines its technical evolution, discusses why it outperforms pure LLMs, and provides a step‑by‑step guide with toolchain choices, evaluation metrics, and future challenges.

AIKnowledge BaseLLM
0 likes · 14 min read
Master Retrieval-Augmented Generation (RAG): Concepts, Benefits, Implementation
Wuming AI
Wuming AI
Dec 30, 2025 · Artificial Intelligence

Build an AI Agent that Turns arXiv Screenshot into Direct PDF Download

The article shows how to create a simple AI agent that receives a screenshot of an arXiv paper, automatically extracts the paper’s URL and PDF link using a custom prompt, and then lets users view the abstract, download the PDF, or save it to a knowledge base.

Knowledge BaseOCRPDF download
0 likes · 4 min read
Build an AI Agent that Turns arXiv Screenshot into Direct PDF Download
Zhuanzhuan Tech
Zhuanzhuan Tech
Dec 24, 2025 · Artificial Intelligence

Building an ASR+LLM+Vector Knowledge Base for Precise Video Ad Category Detection

This article presents a layered ASR‑LLM‑vector‑knowledge‑base pipeline that cleans speech transcripts, semantically repairs text, performs hierarchical exact and fuzzy matching, and iteratively refines mappings to accurately identify product categories in video advertisements, while detailing module functions, technical choices, and LLM parameter tuning.

ASRKnowledge BaseLLM
0 likes · 11 min read
Building an ASR+LLM+Vector Knowledge Base for Precise Video Ad Category Detection
Tencent Cloud Developer
Tencent Cloud Developer
Dec 24, 2025 · Backend Development

How IMA Scaled Its AI Knowledge Base from Monolith to Micro‑services

This article walks through the end‑to‑end design of IMA's AI‑driven knowledge base, covering its definition, core business flow, architecture evolution, data ingestion pipelines, management challenges, asynchronous processing, permission modeling, and the business value demonstrated by the prototype.

AI ArchitectureAccess ControlData Consistency
0 likes · 14 min read
How IMA Scaled Its AI Knowledge Base from Monolith to Micro‑services
DataFunSummit
DataFunSummit
Dec 14, 2025 · Artificial Intelligence

How Sina Weibo Scaled Enterprise AI with a Unified Multi‑Agent Platform

Sina Weibo’s engineering team tackled the high technical barriers, low reuse, and long cycles of large‑model AI deployment by building a unified AI application platform that combines a layered architecture, low‑code workflow, multi‑agent orchestration, and knowledge‑base integration, enabling rapid, reliable AI solutions across the company.

AI PlatformEnterprise AIKnowledge Base
0 likes · 26 min read
How Sina Weibo Scaled Enterprise AI with a Unified Multi‑Agent Platform
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Dec 2, 2025 · Artificial Intelligence

How LLMs Can Revolutionize Test Case Generation: Methods, Benefits, and Challenges

This article examines the shortcomings of manual test case creation, explains how large language models (LLMs) can dramatically improve efficiency, coverage, consistency, and knowledge sharing in software testing, outlines the key capabilities required, and presents a detailed end‑to‑end solution with practical steps, evaluation metrics, and future outlook.

AI automationKnowledge BaseLLM
0 likes · 20 min read
How LLMs Can Revolutionize Test Case Generation: Methods, Benefits, and Challenges
Fun with Large Models
Fun with Large Models
Nov 27, 2025 · Artificial Intelligence

Mastering Coze Knowledge Base: A Step‑by‑Step Low‑Code Agent Guide

This article provides a comprehensive, hands‑on guide to Coze's knowledge base, covering its core concepts, key features, practical use‑case scenarios, detailed creation steps, configuration options, prompt design, testing methods, and a comparison with variables, memory, and databases.

CozeKnowledge BaseLow‑code
0 likes · 15 min read
Mastering Coze Knowledge Base: A Step‑by‑Step Low‑Code Agent Guide
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 27, 2025 · Artificial Intelligence

How AI Powers Ethnic Product Categorization for Global E‑Commerce

This article presents an end‑to‑end AI solution that builds a cultural knowledge base and leverages large language models to automatically identify and match ethnic‑specific product categories on a cross‑border e‑commerce platform, reducing mis‑matches from 8.4% to 1.8% and cutting iteration time from days to under one day.

AIKnowledge BaseLarge Language Model
0 likes · 19 min read
How AI Powers Ethnic Product Categorization for Global E‑Commerce
DaTaobao Tech
DaTaobao Tech
Nov 10, 2025 · Artificial Intelligence

How Tmall’s AI Transforms Test Case Generation for Faster, Smarter QA

This article details Tmall's technology team's deep AI‑driven testing practice, outlining industry challenges, the need for intelligent test case generation, and a comprehensive strategy that combines prompt engineering, RAG‑based knowledge bases, and platform integration to boost coverage, reduce manual effort, and accelerate release cycles.

AI testingKnowledge BasePrompt Engineering
0 likes · 10 min read
How Tmall’s AI Transforms Test Case Generation for Faster, Smarter QA
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Nov 6, 2025 · Artificial Intelligence

How to Optimize RAG Knowledge Base Construction: Parsing, Chunking, and Retrieval

This article explains why building a high‑quality RAG knowledge base is critical, outlines offline parsing techniques for multi‑format documents, presents semantic chunking strategies that preserve structure and context, and shows how to answer interview questions with a robust, production‑ready pipeline.

AI InterviewChunkingKnowledge Base
0 likes · 8 min read
How to Optimize RAG Knowledge Base Construction: Parsing, Chunking, and Retrieval
Baidu Tech Salon
Baidu Tech Salon
Nov 5, 2025 · Artificial Intelligence

How Baidu Transformed E‑Commerce Risk Control with Multimodal AI Agents

This article details Baidu’s e‑commerce risk‑control overhaul, describing how a multimodal large‑model, rule engine, and knowledge‑base collaboration replaces traditional manual and rule‑based reviews, achieving full‑machine coverage, instant feedback, higher accuracy, and improved merchant and user experience.

AI risk controlKnowledge Basee-commerce
0 likes · 13 min read
How Baidu Transformed E‑Commerce Risk Control with Multimodal AI Agents
360 Smart Cloud
360 Smart Cloud
Oct 31, 2025 · Artificial Intelligence

APICLOUD Enterprise Knowledge Base: Architecture, AI Search & Optimization

This article presents a comprehensive solution for constructing an enterprise‑level knowledge base using APICLOUD share‑link data, covering data characteristics, system architecture, core algorithms such as streaming token chunking and semantic vector retrieval, performance optimizations, and real‑world integration scenarios.

APICLOUDEnterprise AIKnowledge Base
0 likes · 16 min read
APICLOUD Enterprise Knowledge Base: Architecture, AI Search & Optimization
JD Tech Talk
JD Tech Talk
Oct 21, 2025 · Backend Development

How Backend Engineers Are Breaking Through AI with RAG Architectures

This article details a backend developer's two‑year AI journey, the challenges of rapid model advances, and how applying microservice principles to Retrieval‑Augmented Generation (RAG) creates a scalable, multi‑agent platform for insurance knowledge, memory, and intelligent agents.

Backend AIKnowledge BaseRAG
0 likes · 11 min read
How Backend Engineers Are Breaking Through AI with RAG Architectures
TAL Education Technology
TAL Education Technology
Oct 16, 2025 · Artificial Intelligence

How to Turn AI from a Code Generator into a Reliable Development Partner

The article examines why AI coding tools often feel like talented but inexperienced interns, identifies memory gaps, understanding bias, and quality risks as core obstacles, and proposes a three‑dimensional partnership model—project memory, precise communication, and multi‑layer quality assurance—to transform AI into a trustworthy collaborator across the software development lifecycle.

AI programmingKnowledge Basecode quality
0 likes · 19 min read
How to Turn AI from a Code Generator into a Reliable Development Partner
Bighead's Algorithm Notes
Bighead's Algorithm Notes
Oct 14, 2025 · Artificial Intelligence

How TS‑Agent Uses LLMs and Reflective Feedback to Automate Financial Time‑Series Modeling

TS‑Agent is a modular LLM‑driven framework that formalizes financial time‑series modeling as a three‑stage iterative decision process, leveraging structured knowledge bases, dynamic memory, and a feedback‑driven code‑editing loop to outperform AutoML baselines in accuracy, robustness, and auditability.

AutoMLKnowledge BaseLLM
0 likes · 12 min read
How TS‑Agent Uses LLMs and Reflective Feedback to Automate Financial Time‑Series Modeling
Fun with Large Models
Fun with Large Models
Oct 10, 2025 · Artificial Intelligence

Coze Low-Code Agent Platform: In‑Depth Look at Its Six Core Features

This article provides a comprehensive overview of the Coze low‑code AI agent platform, detailing its free, multi‑model capabilities and six core functions—plugins, knowledge base, database, image flow, workflow, and multi‑agent collaboration—while illustrating how each feature lowers development barriers and enables sophisticated agent applications.

Agent PlatformCozeKnowledge Base
0 likes · 13 min read
Coze Low-Code Agent Platform: In‑Depth Look at Its Six Core Features
Tech Freedom Circle
Tech Freedom Circle
Sep 25, 2025 · Artificial Intelligence

RAGFlow Primer Part 1: Introduction and Concept Deep Dive

This article provides a comprehensive technical overview of RAGFlow, an industrial‑grade Retrieval‑Augmented Generation platform, detailing its architecture, core components such as DeepDoc, intelligent chunking, embedding integration, multi‑stage retrieval, and agent workflow, while comparing it with traditional RAG shortcomings.

Agent workflowDeepDocIntelligent Chunking
0 likes · 32 min read
RAGFlow Primer Part 1: Introduction and Concept Deep Dive
Zhuanzhuan Tech
Zhuanzhuan Tech
Sep 17, 2025 · Artificial Intelligence

LLM‑Powered Intent Understanding, RAG QA, and Knowledge Base Maintenance for Recycling

This article details how Zhuanzhuan leverages large language models to enhance on‑site device inspection through a three‑stage pipeline—intent understanding, retrieval‑augmented generation QA, and automated knowledge‑base upkeep—highlighting technical innovations, workflow integration, and the resulting operational benefits.

AIIntent UnderstandingKnowledge Base
0 likes · 14 min read
LLM‑Powered Intent Understanding, RAG QA, and Knowledge Base Maintenance for Recycling
DaTaobao Tech
DaTaobao Tech
Sep 10, 2025 · Frontend Development

How AI Cut Front‑End Development Time by 60% in Alibaba’s Giraffe Search

This article details how the author transformed a constrained Weex/Muise front‑end project for the “giraffe” search page into an AI‑driven workflow, building a structured knowledge base, defining project‑level rules, and using RAG techniques to accelerate component, tracking, and payment integration, ultimately reducing development time by 60% and proposing a new “AI programming as context engineering” paradigm.

AIKnowledge BaseMuise
0 likes · 14 min read
How AI Cut Front‑End Development Time by 60% in Alibaba’s Giraffe Search
Efficient Ops
Efficient Ops
Sep 2, 2025 · Artificial Intelligence

How AI Is Revolutionizing Knowledge‑Base Building for Smarter Operations

At the 27th GOPS Global Operations Conference in Shanghai (Oct 17‑18, 2025), Professor Wang Peng of Fudan University will reveal how large language models can extract and structure heterogeneous operational data into high‑quality knowledge bases, and how RAG‑driven Q&A enhances fault diagnosis, SOP generation, and automated decision‑making.

Artificial IntelligenceIntelligent OperationsKnowledge Base
0 likes · 3 min read
How AI Is Revolutionizing Knowledge‑Base Building for Smarter Operations
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 21, 2025 · Artificial Intelligence

Why Your AI Defect Deduplication Returns Mixed Data and How to Fix It

This article details the challenges of building an AI‑powered defect deduplication system using Retrieval‑Augmented Generation, explains why LLMs produce composite (spliced) results, diagnoses the root cause as information loss in the RAG pipeline, and presents a step‑by‑step solution that restores atomicity of records for reliable duplicate detection.

AI debuggingKnowledge BaseLLM
0 likes · 14 min read
Why Your AI Defect Deduplication Returns Mixed Data and How to Fix It
DeWu Technology
DeWu Technology
Aug 18, 2025 · Frontend Development

Building a High‑Performance Custom Knowledge Base with TinyMCE

This article details the design and implementation of a self‑built customer service knowledge base, covering background needs, the selection of TinyMCE as the rich‑text editor, system architecture, solutions for image migration, lazy loading, template thumbnails, global find/replace, and RAG‑based intelligent Q&A.

Image Lazy LoadingKnowledge BaseTinyMCE
0 likes · 12 min read
Building a High‑Performance Custom Knowledge Base with TinyMCE
Architect's Alchemy Furnace
Architect's Alchemy Furnace
Aug 4, 2025 · Artificial Intelligence

How RAG and Long‑Term Memory Turn AI into a Truly Remembering Assistant

This article explains how Retrieval‑Augmented Generation (RAG) and long‑term memory systems like MenoBase enable large language models to overcome short‑term memory limits, dynamically retrieve up‑to‑date knowledge, and personalize interactions, with practical Dify implementation steps and real‑world use cases across industries.

AIDifyKnowledge Base
0 likes · 18 min read
How RAG and Long‑Term Memory Turn AI into a Truly Remembering Assistant
DaTaobao Tech
DaTaobao Tech
Aug 4, 2025 · Artificial Intelligence

How Multi‑Agent AI Is Revolutionizing Software Testing and Boosting Efficiency

This article explains how an intelligent‑agent‑driven adaptive testing system automates the entire test lifecycle—from requirement analysis and case generation to execution and feedback—dramatically improving testing speed, quality, and resource utilization while reshaping the role of test engineers.

AI testingKnowledge BaseSoftware quality
0 likes · 21 min read
How Multi‑Agent AI Is Revolutionizing Software Testing and Boosting Efficiency
Zhuanzhuan Tech
Zhuanzhuan Tech
Jul 23, 2025 · Artificial Intelligence

Why AI‑Generated Code Often Misses the Mark and How a Code Knowledge Base Fixes It

AI‑generated code frequently fails to match project conventions due to lack of contextual memory, but building a dynamic code knowledge base combined with Retrieval‑Augmented Generation (RAG) enables precise, compliant code output, reduces errors, accelerates development, and transforms AI into a project‑specific assistant.

AIKnowledge BaseRAG
0 likes · 13 min read
Why AI‑Generated Code Often Misses the Mark and How a Code Knowledge Base Fixes It
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Jul 18, 2025 · Artificial Intelligence

Video: Building an Intelligent Knowledge‑Base Q&A System with Large Models and Elasticsearch (RAG)

The video walks through the differences between traditional keyword search and vector search, explains the core concept of Retrieval‑Augmented Generation, and demonstrates how to construct a knowledge‑base Q&A system using a large language model integrated with Elasticsearch.

ElasticsearchKnowledge BaseLarge Language Model
0 likes · 1 min read
Video: Building an Intelligent Knowledge‑Base Q&A System with Large Models and Elasticsearch (RAG)
58UXD
58UXD
Jul 17, 2025 · Artificial Intelligence

How to Build an AI-Powered Semantic Assistant with Coze: From Zero to One

This guide details how to transform static semantic documentation into an interactive AI assistant using Coze, covering workflow tool selection, knowledge‑base optimization, step‑by‑step workflow construction, UI design, testing strategies, and future optimization directions.

AI AssistantCozeKnowledge Base
0 likes · 12 min read
How to Build an AI-Powered Semantic Assistant with Coze: From Zero to One
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
DataFunTalk
DataFunTalk
Jul 12, 2025 · Artificial Intelligence

How SF Tech Secures AI Agents for Logistics: Responsibility, Safety, and Performance

SF Technology explains how it builds responsible, safe, and professional AI agents for logistics by combining rule‑based layers, a logistics knowledge base, private deployment, and low‑code platforms, while tackling hallucination, inference performance, and tool‑calling challenges to achieve industrial‑grade decision loops.

AIKnowledge BaseLarge Models
0 likes · 9 min read
How SF Tech Secures AI Agents for Logistics: Responsibility, Safety, and Performance
Instant Consumer Technology Team
Instant Consumer Technology Team
Jun 13, 2025 · Artificial Intelligence

Unlocking RAGFlow: How Retrieval‑Augmented Generation & Flow Transform AI Applications

RAGFlow is an AI architecture that merges Retrieval‑Augmented Generation with a dynamic Flow control mechanism, offering real‑time knowledge retrieval, high‑quality text generation, and flexible deployment across content creation, intelligent QA, and enterprise solutions while outlining its technical principles, advantages, challenges, and installation steps.

AIChatbotFlow Control
0 likes · 25 min read
Unlocking RAGFlow: How Retrieval‑Augmented Generation & Flow Transform AI Applications
Youzan Coder
Youzan Coder
Jun 6, 2025 · Artificial Intelligence

How AI Agents Turn Manual Data Retrieval into Fully Automated Insights

This article examines the challenges of manual data extraction in data‑driven enterprises, explains why large language models alone fall short, and details how the Cursor‑Agent framework automates end‑to‑end querying, knowledge‑base integration, and result validation to become a self‑sufficient "data master" for both technical and non‑technical users.

Cursor AgentData AutomationKnowledge Base
0 likes · 26 min read
How AI Agents Turn Manual Data Retrieval into Fully Automated Insights
DeWu Technology
DeWu Technology
May 19, 2025 · Artificial Intelligence

AI-Powered Automated Test Case Generation: Design, Implementation, and Future Plans

This article presents a comprehensive AI-driven solution for automatically generating functional test cases, detailing the AI background, design scheme, core components such as PRD parsing, test‑point generation, test‑case creation, knowledge‑base construction, implementation results, and future development directions.

AIKnowledge BaseLLM
0 likes · 7 min read
AI-Powered Automated Test Case Generation: Design, Implementation, and Future Plans
Youzan Coder
Youzan Coder
May 8, 2025 · Artificial Intelligence

Building and Optimizing a Store Smart Assistant with Aily: Architecture, Workflow, and Practical Lessons

The article details how Youzan’s Store Smart Assistant was built on the Feishu Aily platform, describing why Aily was chosen, the three‑stage development process, deep system integration, practical tips for knowledge‑base management and model stability, and the resulting efficiency gains such as handling 80% of routine queries.

AI AssistantAily platformKnowledge Base
0 likes · 24 min read
Building and Optimizing a Store Smart Assistant with Aily: Architecture, Workflow, and Practical Lessons
JD Tech
JD Tech
May 8, 2025 · Artificial Intelligence

The Emerging Boom of Large Model Applications and Why 2025 Will Be the Turning Point

Amid the AI wave, large language models like DeepSeek R1 are poised to explode by 2025, driven by open-source, low-cost access and superior reasoning, with successful deployment requiring four key factors—domain expertise, knowledge bases, robust search, and engineered agent architectures—to unlock value beyond simple chat.

2025AI applicationsAgent Architecture
0 likes · 10 min read
The Emerging Boom of Large Model Applications and Why 2025 Will Be the Turning Point
DevOps
DevOps
Apr 17, 2025 · Artificial Intelligence

Building a Google Prompt‑Engineering Assistant with Coze

This guide explains how to use Google’s Prompt‑Engineering Whitepaper to create a Coze knowledge‑base and workflow that can answer prompt‑engineering questions, generate high‑quality prompts, and demonstrate practical AI prompt‑crafting techniques for users.

AICozeGoogle Whitepaper
0 likes · 6 min read
Building a Google Prompt‑Engineering Assistant with Coze
Architect
Architect
Mar 26, 2025 · Artificial Intelligence

Agent Memory Mechanisms and Dify Knowledge Base Segmentation & Retrieval Details

This article explains the fundamentals of AI agent memory—including short‑term, long‑term, and working memory types and their storage designs—and then details Dify's knowledge‑base segmentation modes, indexing strategies, and retrieval configurations for effective RAG applications.

Agent MemoryDifyKnowledge Base
0 likes · 14 min read
Agent Memory Mechanisms and Dify Knowledge Base Segmentation & Retrieval Details
Architect's Alchemy Furnace
Architect's Alchemy Furnace
Mar 19, 2025 · Artificial Intelligence

Choosing the Right Deployment Strategy for Large Language Models: QwQ‑32B vs DeepSeek‑R1

This article compares QwQ‑32B and DeepSeek‑R1 large language models across performance, technical breakthroughs, deployment costs, and open‑source ecosystems, then evaluates pure‑local, hybrid, and pure‑cloud deployment options, and finally provides practical guidelines for preparing knowledge‑base documents and indexing methods.

AIDeploymentKnowledge Base
0 likes · 10 min read
Choosing the Right Deployment Strategy for Large Language Models: QwQ‑32B vs DeepSeek‑R1
Java Tech Enthusiast
Java Tech Enthusiast
Mar 12, 2025 · Artificial Intelligence

Open-Source Enterprise Knowledge Base and Intelligent Dialogue Platform Based on Spring Boot and DeepSeek

The open‑source DeepSeek‑Flow‑AI platform combines Spring Boot 3.4 back‑end APIs with a Vue 3 front‑end to deliver an enterprise‑grade knowledge base and intelligent multi‑turn dialogue system, supporting private deployment, role‑based access, analytics, CRM/ERP integration, and easy installation via Maven and Yarn.

AIDeepSeekKnowledge Base
0 likes · 5 min read
Open-Source Enterprise Knowledge Base and Intelligent Dialogue Platform Based on Spring Boot and DeepSeek
JavaEdge
JavaEdge
Feb 27, 2025 · Artificial Intelligence

How to Quickly Build a DeepSeek‑Powered Knowledge Base on Tencent Cloud

This guide walks through deploying the full‑feature DeepSeek V3+R1 model on Tencent Cloud, configuring a smart knowledge‑base application, importing documentation, enabling internet search, tuning retrieval parameters, and publishing the app for public use, all without writing code.

AIDeepSeekKnowledge Base
0 likes · 6 min read
How to Quickly Build a DeepSeek‑Powered Knowledge Base on Tencent Cloud
Baobao Algorithm Notes
Baobao Algorithm Notes
Feb 24, 2025 · Artificial Intelligence

How to Build a Breakfast Shop AI Agent with Baidu Wenxin and DeepSeek R1

This article provides a step‑by‑step guide to creating a breakfast‑shop reception AI agent on Baidu's Wenxin Intelligent Agent platform, highlighting its core features, model selection with DeepSeek R1, and practical tips for configuring personas, knowledge bases, and plugins.

Baidu WenxinDeepSeekKnowledge Base
0 likes · 7 min read
How to Build a Breakfast Shop AI Agent with Baidu Wenxin and DeepSeek R1
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Feb 22, 2025 · Artificial Intelligence

Deploying DeepSeek Locally with Ollama, Building Personal and Organizational Knowledge Bases, and Integrating with Spring AI

This guide explains how to locally deploy the DeepSeek large‑language model using Ollama on Windows, macOS, and Linux, configure model storage and CORS, build personal and enterprise RAG knowledge bases with AnythingLLM and Open WebUI, and integrate the model into a Spring AI application via Docker and Docker‑Compose.

ContainerizationDeepSeekDocker
0 likes · 16 min read
Deploying DeepSeek Locally with Ollama, Building Personal and Organizational Knowledge Bases, and Integrating with Spring AI
Liangxu Linux
Liangxu Linux
Feb 16, 2025 · Artificial Intelligence

Build a Free Private AI with DeepSeek, Ollama, and Local Knowledge Base

This guide explains how to locally deploy the open‑source DeepSeek model using Ollama, enhance interaction with Chatbox and Page Assist, and connect a local knowledge base via AnythingLLM's RAG architecture, providing step‑by‑step instructions, hardware requirements, and API examples for a self‑hosted AI system.

AI deploymentAnythingLLMDeepSeek
0 likes · 22 min read
Build a Free Private AI with DeepSeek, Ollama, and Local Knowledge Base
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Feb 14, 2025 · Artificial Intelligence

Deploy a DeepSeek AI App with Web Search & Private Knowledge Base in 30 Minutes

This guide walks you through deploying DeepSeek models on Alibaba Cloud PAI, integrating SerpAPI for live web search, building a private knowledge base, and assembling a RAG-enabled chatbot workflow, all within 30 minutes, enabling enterprises to create intelligent applications that combine large‑model capabilities with up‑to‑date information.

AI ApplicationAlibaba CloudDeepSeek
0 likes · 7 min read
Deploy a DeepSeek AI App with Web Search & Private Knowledge Base in 30 Minutes
JD Tech Talk
JD Tech Talk
Feb 12, 2025 · Artificial Intelligence

Deploying a Private DeepSeek Large Language Model on JD Cloud with Ollama and Knowledge‑Base Tools

This guide explains how to privately deploy the DeepSeek large language model using a JD Cloud virtual computer, set up Ollama as the LLM service, run various model versions, and integrate local knowledge bases through CherryStudio, Page Assist, and AnythingLLM for offline and network‑enabled AI applications.

AI deploymentDeepSeekJD Cloud
0 likes · 16 min read
Deploying a Private DeepSeek Large Language Model on JD Cloud with Ollama and Knowledge‑Base Tools
JD Cloud Developers
JD Cloud Developers
Feb 12, 2025 · Artificial Intelligence

Deploy a Private DeepSeek Large‑Model on JD Cloud with Ollama

This guide walks you through the reasons for deploying a private DeepSeek large‑model, compares full and distilled versions, shows how to purchase a JD Cloud computer, install Ollama, run the model, and integrate a local knowledge base using CherryStudio, Page Assist, and Anything LLM.

AI modelDeepSeekJD Cloud
0 likes · 17 min read
Deploy a Private DeepSeek Large‑Model on JD Cloud with Ollama
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jan 15, 2025 · Artificial Intelligence

Build an Education‑Focused RAG Solution Using Alibaba PAI

This guide explains how to create a Retrieval‑Augmented Generation (RAG) solution for education on Alibaba PAI, covering knowledge‑base construction with PAI‑Designer, model deployment, connection setup in LangStudio, workflow configuration, online deployment, and a legal‑domain case comparison that highlights RAG's accuracy benefits.

Alibaba PAIEmbeddingKnowledge Base
0 likes · 14 min read
Build an Education‑Focused RAG Solution Using Alibaba PAI
iQIYI Technical Product Team
iQIYI Technical Product Team
Dec 19, 2024 · Artificial Intelligence

Project BaixiaoSheng: An AI‑Powered Project Management Assistant – iQIYI Case Study

Project BaixiaoSheng, iQIYI’s AI‑powered project management assistant unveiled at the 13th TOP 100 Global Software Case Study Summit, uses a Retrieval‑Augmented Generation framework with static knowledge Q&A, dynamic data consulting, and scenario‑assistant automation to cut context‑switching, streamline data flow, and boost cross‑system efficiency, while future plans target fine‑tuned LLMs, multi‑model fusion, and AI‑agent orchestration.

AIKnowledge BaseLarge Language Model
0 likes · 11 min read
Project BaixiaoSheng: An AI‑Powered Project Management Assistant – iQIYI Case Study
Alibaba Cloud Native
Alibaba Cloud Native
Dec 13, 2024 · Artificial Intelligence

Build a 24/7 AI Customer Assistant for Your Website in 10 Minutes

This guide shows how to create a zero‑code AI chatbot using Alibaba Cloud Function Compute and the Bailei large‑model platform, configure API keys, deploy a sample site, embed the assistant, and enhance it with a private knowledge base for accurate product support.

AI AssistantCustomer ServiceFunction Compute
0 likes · 9 min read
Build a 24/7 AI Customer Assistant for Your Website in 10 Minutes
Alimama Tech
Alimama Tech
Dec 11, 2024 · Artificial Intelligence

Engineering Architecture of Alibaba's AI Digital Employee "AI XiaoWan"

Alibaba’s AI digital employee “AI XiaoWan” uses a native multi‑agent architecture where a Controller Agent interprets intent, plans tasks, and orchestrates execution while an Executable Agent performs domain‑specific operations, communicating via a standardized Agent Communication Protocol, leveraging a centralized Tool Center, a retrieval‑augmented knowledge base, and a data‑flywheel feedback loop to continuously improve and evolve toward memory‑based reasoning and self‑learning.

AIKnowledge BaseLarge Language Model
0 likes · 14 min read
Engineering Architecture of Alibaba's AI Digital Employee "AI XiaoWan"