Tagged articles

Knowledge Base

176 articles · Page 1 of 2

Jul 2, 2026 · Information Security

AI Agent Automates PTES Penetration Testing – Inside Pentester

Pentester is an open‑source AI‑driven framework that fully automates the PTES seven‑stage penetration testing workflow—from pre‑engagement parameter collection and compliance checks to intelligence gathering, vulnerability analysis, exploitation, post‑exploitation, and report generation—by interacting with users one question at a time and parallelizing sub‑tasks.

AI AgentAutomationKnowledge Base

0 likes · 9 min read

AI Agent Automates PTES Penetration Testing – Inside Pentester

macrozheng

Jul 2, 2026 · Artificial Intelligence

Claude Code + Obsidian: A Game‑Changing LLM‑Powered Knowledge Engine

The article introduces the open‑source Claude‑Obsidian project, which lets a large language model read, link, and maintain your personal knowledge base inside Obsidian, explains its compounding‑knowledge model, key features like automatic note structuring and health checks, and provides step‑by‑step installation and daily usage instructions.

AIClaudeKnowledge Base

0 likes · 7 min read

Claude Code + Obsidian: A Game‑Changing LLM‑Powered Knowledge Engine

DataFunSummit

Jul 1, 2026 · Artificial Intelligence

How Bailei Knowledge Base Uses Flink and DLF (Paimon) to Build an Enterprise‑Scale Full‑Modal RAG System

Bailei Knowledge Base delivers an enterprise‑grade, full‑modal Retrieval‑Augmented Generation solution covering documents, tables, images and audio‑video, powered by Flink's high‑throughput streaming for billions of daily document indexes and DLF/Paimon’s three‑layer reliable backup, achieving sub‑200 ms latency and 99.99% availability.

DLFEnterprise AIFlink

0 likes · 26 min read

How Bailei Knowledge Base Uses Flink and DLF (Paimon) to Build an Enterprise‑Scale Full‑Modal RAG System

dbaplus Community

Jun 24, 2026 · Operations

Sina Weibo’s AI Agent Ops: Three Steps, Five Stages, Multi‑Scenario Practice

The article details how Sina Weibo tackles rising operational complexity by evolving its traditional AIOps into a three‑step AI system—AI‑assisted coding, knowledge‑base and MCP tool foundations, and AI Agent deployment—showcasing multiple production scenarios, case studies, and lessons learned.

AI AgentAI OpsAIOps

0 likes · 13 min read

Sina Weibo’s AI Agent Ops: Three Steps, Five Stages, Multi‑Scenario Practice

Wu Shixiong's Large Model Academy

Jun 23, 2026 · Artificial Intelligence

When RAG Returns Junk, Why a LLM Can’t Fix It – Building an Agentic RAG

The article examines why traditional single‑step Retrieval‑Augmented Generation fails when retrieved passages are irrelevant, outlines the three fundamental flaws of that pipeline, and presents the Agentic RAG paradigm—turning retrieval into a reusable tool with planning, reflection, and decision loops, illustrated with code, interview scenarios, and practical deployment tips.

AIAgentic RAGKnowledge Base

0 likes · 32 min read

When RAG Returns Junk, Why a LLM Can’t Fix It – Building an Agentic RAG

SpringMeng

Jun 20, 2026 · Artificial Intelligence

Building a Local AI Knowledge Base in 2 Months for 75k: My Development Journey

In two months and a budget of 75,000 CNY, I built a secure on‑premise AI knowledge‑base for a research institute using SpringBoot, Python, DeepSeek‑v4, RAGFlow, and a custom GPU‑rich server, and documented every step from hardware selection to Docker deployment.

AIDeepSeekDocker

0 likes · 11 min read

Building a Local AI Knowledge Base in 2 Months for 75k: My Development Journey

AI Engineer Programming

Jun 20, 2026 · Artificial Intelligence

RAG Data Ingestion: Managing Heterogeneous Sources and Unified Metadata

The article analyzes common pitfalls in RAG data ingestion—connection failures and incomplete records—advocates defining required metadata fields before integration, and provides source‑specific guidelines for databases, APIs, object storage, web crawlers, and manual uploads to ensure reliable downstream governance.

AIETLKnowledge Base

0 likes · 17 min read

RAG Data Ingestion: Managing Heterogeneous Sources and Unified Metadata

PaperAgent

Jun 16, 2026 · Artificial Intelligence

Enterprise Knowledge Base Blueprint: Solving 12 Document‑Parsing Challenges with Real‑World Case Studies

The whitepaper reveals how enterprises can transform unstructured PDFs, scans, and schematics into AI‑ready, structured knowledge by tackling twelve common document‑parsing obstacles—such as complex tables, multi‑column layouts, and handwritten text—and illustrates each solution with detailed case studies from securities, engineering, IoT, semiconductor, and pharmaceutical leaders.

AICase StudyDocument Parsing

0 likes · 6 min read

Enterprise Knowledge Base Blueprint: Solving 12 Document‑Parsing Challenges with Real‑World Case Studies

Machine Heart

Jun 10, 2026 · Artificial Intelligence

Can AI Bridge the College Application Gap? Alibaba’s Free Volunteer‑Filling Agent Tested by 400K AI Candidates

Alibaba’s free Qianwen high‑school volunteer‑filling Agent combines a knowledge base of 3,000 schools, proactive calendar planning, persistent memory and reinforcement‑learning‑trained LLM to guide 12.9 million candidates, and its performance was stress‑tested with 400,000 simulated AI applicants.

AI AgentCollege AdmissionsEducation Technology

0 likes · 10 min read

Can AI Bridge the College Application Gap? Alibaba’s Free Volunteer‑Filling Agent Tested by 400K AI Candidates

Alibaba Cloud Developer

Jun 10, 2026 · Artificial Intelligence

Layered Knowledge Base Architecture: From RAG to Agent‑Native Knowledge Context Layer

The article analyses the structural shortcomings of naive Retrieval‑Augmented Generation (RAG), compares four knowledge‑base paradigms, proposes a five‑layer pyramid knowledge context that supports role‑aware navigation and incremental sync, and presents evaluation results showing the pyramid‑plus‑RAG approach significantly outperforms plain RAG.

AIKnowledge BaseKnowledge Graph

0 likes · 22 min read

Layered Knowledge Base Architecture: From RAG to Agent‑Native Knowledge Context Layer

Smart Workplace Lab

Jun 9, 2026 · Operations

When AI‑Generated Content Undermines Your Knowledge Base: A Three‑Step Synthetic Data Isolation Protocol

The article shows how unchecked AI‑generated entries can corrupt internal knowledge bases, explains the model‑collapse risk, and presents a three‑step protocol—source watermarking with confidence tags, weight‑degradation routing, and fact‑anchor verification—that cuts trust decay by 70% and speeds new‑employee onboarding by 40%.

AI GovernanceKnowledge BaseRAG

0 likes · 6 min read

When AI‑Generated Content Undermines Your Knowledge Base: A Three‑Step Synthetic Data Isolation Protocol

PMTalk Product Manager Community

Jun 7, 2026 · Product Management

Why AI Companies Are Adding the Forward Deployed Engineer Role

AI product demos excite customers, but real‑world deployment stalls due to data, workflow, and model issues, prompting AI firms to create the Forward Deployed Engineer (FDE) role that bridges product, engineering, and business to deliver sustainable value.

AI EngineeringAI product deploymentFDE

0 likes · 13 min read

Why AI Companies Are Adding the Forward Deployed Engineer Role

Zhuanzhuan Tech

Jun 2, 2026 · Industry Insights

Building a Self‑Evolving End‑to‑End AI Workflow: XianKeHui’s AI‑Native Journey

The article details how XianKeHui transformed a three‑month membership‑upgrade project into a three‑week delivery by replacing manual hand‑offs with AI Agents, consolidating six roles into three, automating document creation, and continuously enriching an organizational knowledge base that makes each subsequent demand faster and smarter.

AI AgentsAI workflowKnowledge Base

0 likes · 26 min read

Building a Self‑Evolving End‑to‑End AI Workflow: XianKeHui’s AI‑Native Journey

vivo Internet Technology

May 27, 2026 · Artificial Intelligence

Deploying an AI‑Powered Shopping Guide on the Vivo Official Site

This article details the end‑to‑end implementation of an AI shopping guide on the Vivo official website, covering problem definition, multi‑layer architecture, technology selection, data synthesis, FastText intent‑recognition model training, prompt engineering, RAG‑augmented retrieval, structured output, safety testing, and the resulting business impact.

AIChatbotKnowledge Base

0 likes · 27 min read

Deploying an AI‑Powered Shopping Guide on the Vivo Official Site

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.

AI AgentAIFunctionFunction Calling

0 likes · 29 min read

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

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

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

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 CodeFile System

0 likes · 17 min read

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

Architect's Ambition

May 18, 2026 · Artificial Intelligence

Building Enterprise Private Knowledge Bases: End-to-End Crawl, Clean, and RAG Pipeline

The article outlines a complete six‑stage workflow for constructing enterprise‑grade private knowledge bases—starting with targeted web‑crawling and API ingestion, through data cleaning, chunking, embedding generation, vector storage, and finally multi‑stage RAG retrieval optimization—highlighting why early stages set the performance ceiling and offering practical tips from real‑world projects.

AI AgentChunkingEmbedding

0 likes · 10 min read

Building Enterprise Private Knowledge Bases: End-to-End Crawl, Clean, and RAG Pipeline

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.

AIAutomationKnowledge Base

0 likes · 20 min read

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

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

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 BaseLLMRAG

0 likes · 8 min read

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

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 GovernanceKnowledge Base

0 likes · 7 min read

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

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

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.

AutomationCLIGit

0 likes · 13 min read

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

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 AgentsKnowledge BaseThree-layer architecture

0 likes · 26 min read

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

Lao Guo's Learning Space

Apr 27, 2026 · Artificial Intelligence

Build a Private Knowledge Base from Scratch with DeepSeek V4 and AnythingLLM

This guide walks you through creating a fully local, zero‑cloud RAG knowledge base using DeepSeek V4, AnythingLLM, and the BGE‑M3 embedding model, covering component choices, step‑by‑step installation, advanced tuning, troubleshooting, use‑case scenarios, and cost estimation.

AnythingLLMBGE‑M3DeepSeek-V4

0 likes · 18 min read

Build a Private Knowledge Base from Scratch with DeepSeek V4 and AnythingLLM

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

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

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.

Knowledge BaseLLM WikiObsidian

0 likes · 6 min read

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

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 supernodesEmbodied IntelligenceGPU clusters

0 likes · 16 min read

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

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.

AI AgentAndroidCLI

0 likes · 8 min read

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

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.

AIHallucinationKnowledge Base

0 likes · 12 min read

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

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

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

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 Quality

0 likes · 16 min read

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

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 ChatbotKnowledge BaseLLM

0 likes · 15 min read

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

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

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 AutomationGitHubKnowledge Base

0 likes · 6 min read

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

Woodpecker Software Testing

Mar 17, 2026 · Artificial Intelligence

Why Direct Prompting Beats LLM Knowledge‑Base Agents for Test‑Case Generation

The article explains that feeding requirements directly in the prompt yields far better test‑case designs than using an LLM‑powered knowledge‑base agent, because the model processes the full context without the loss and fragmentation introduced by retrieval‑augmented generation.

AI AgentsKnowledge BaseLLM

0 likes · 6 min read

Why Direct Prompting Beats LLM Knowledge‑Base Agents for Test‑Case Generation

Code Mala Tang

Mar 16, 2026 · Artificial Intelligence

Turn Opencode into a Persistent Research Assistant with Simple Agent Setup

This guide shows how to extend the open‑source Opencode LLM coding tool with a custom agent and folder structure so it can store topic summaries, retain memory across sessions, and serve as a powerful terminal‑based research assistant.

AgentKnowledge BaseLLM

0 likes · 8 min read

Turn Opencode into a Persistent Research Assistant with Simple Agent Setup

PMTalk Product Manager Community

Mar 5, 2026 · Artificial Intelligence

Building a Multi‑Agent AI Office with OpenClaw: From CRM to Decision‑Making in 30 Minutes

The author dissects OpenClaw by reproducing a 30‑minute, code‑free CRM, then walks through eight AI‑driven use cases—from meeting action tracking to a nightly multi‑agent board—highlighting their practical benefits, underlying data flows, and the system's inherent limitations.

AI AgentsAI safetyCRM

0 likes · 12 min read

Building a Multi‑Agent AI Office with OpenClaw: From CRM to Decision‑Making in 30 Minutes

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

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

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

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

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 DesignKnowledge Baseartificial-intelligence

0 likes · 18 min read

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

Amazon Cloud Developers

Feb 5, 2026 · Cloud Computing

How to Build a Fast, Accurate AI‑Powered Knowledge Base with Amazon OpenSearch and DeepSeek

This article walks through using Amazon OpenSearch Service’s vector search and ML connector together with the DeepSeek large language model to create a low‑cost, high‑efficiency enterprise knowledge base, covering architecture, step‑by‑step deployment, RAG pipeline configuration, and conversational search extensions.

Amazon OpenSearchDeepSeekKnowledge Base

0 likes · 17 min read

How to Build a Fast, Accurate AI‑Powered Knowledge Base with Amazon OpenSearch and DeepSeek

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 Basecross‑framework

0 likes · 10 min read

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

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

Tech Musings

Jan 28, 2026 · Databases

Building a CPU‑Only Poetry Retrieval Engine with Qwen Embeddings and Redis Vector Search

This article details a lightweight, CPU‑only knowledge‑base retrieval experiment that uses Qwen3‑Embedding‑0.6B to vectorize Chinese poetry, stores vectors in Redis with HNSW indexing, and implements a hybrid keyword‑plus‑vector search pipeline with configurable weighting and performance optimizations.

CPUEmbeddingKnowledge Base

0 likes · 11 min read

Building a CPU‑Only Poetry Retrieval Engine with Qwen Embeddings and Redis Vector Search

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 workflowClaudeKnowledge Base

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

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 memoryKnowledge BaseMemOS

0 likes · 17 min read

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

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

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.

AI AgentKnowledge BaseOCR

0 likes · 4 min read

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

360 Tech Engineering

Dec 25, 2025 · Artificial Intelligence

Choosing Between Vector Knowledge Bases and Knowledge Graphs for RAG

This article explains the definitions, differences, and integration trends of Knowledge Bases and Knowledge Graphs within Retrieval‑Augmented Generation, helping developers decide which technology best fits their AI system requirements.

AI RetrievalGraphRAGHybrid Search

0 likes · 9 min read

Choosing Between Vector Knowledge Bases and Knowledge Graphs for RAG

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

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

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

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

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.

Agent developmentCozeKnowledge Base

0 likes · 15 min read

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

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

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

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

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

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

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

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 programmingHuman-AI CollaborationKnowledge Base

0 likes · 19 min read

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

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.

AutoMLFeedback LoopKnowledge Base

0 likes · 12 min read

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

Instant Consumer Technology Team

Oct 13, 2025 · Artificial Intelligence

Mastering AI Agents: Building Knowledge Bases, Workflows, and Prompt Engineering

This article explains how to design a high‑performing AI Agent by constructing a robust knowledge base, orchestrating efficient workflows, and crafting precise prompts, covering vector storage, graph databases, retrieval strategies, and practical prompt‑engineering techniques.

AI AgentKnowledge BaseLLM

0 likes · 15 min read

Mastering AI Agents: Building Knowledge Bases, Workflows, and Prompt Engineering

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

Architect's Guide

Sep 26, 2025 · Cloud Native

Build Your Own AI‑Powered Knowledge Base with PandaWiki – Step‑by‑Step Guide

This article introduces the open‑source PandaWiki knowledge‑base system, outlines its AI‑driven features, details installation requirements and Docker‑based setup, and walks you through post‑install configuration, document import, and using its intelligent search and Q&A capabilities.

AIDockerKnowledge Base

0 likes · 6 min read

Build Your Own AI‑Powered Knowledge Base with PandaWiki – Step‑by‑Step Guide

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.

DeepDocIntelligent ChunkingKnowledge Base

0 likes · 32 min read

RAGFlow Primer Part 1: Introduction and Concept Deep Dive

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

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

Liangxu Linux

Sep 4, 2025 · Artificial Intelligence

Boost Your Knowledge Base with RAGFlow – Open‑Source RAG Engine with 60K Stars

RAGFlow is an open‑source Retrieval‑Augmented Generation engine that lets large language models query diverse internal documents, provides source citations, supports many file formats, and can be quickly deployed via Docker following a step‑by‑step guide.

AIKnowledge BaseRAG

0 likes · 5 min read

Boost Your Knowledge Base with RAGFlow – Open‑Source RAG Engine with 60K Stars

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.

Intelligent OperationsKnowledge BaseLarge Language Model

0 likes · 3 min read

How AI Is Revolutionizing Knowledge‑Base Building for Smarter Operations

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

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

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

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 BaseMulti-Agent Systems

0 likes · 21 min read

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

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

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

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

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

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 BaseResponsible AI

0 likes · 9 min read

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

Instant Consumer Technology Team

Jul 8, 2025 · Artificial Intelligence

Coze vs Dify vs FastGPT: Which AI Agent Platform Fits Your Needs?

This article provides a detailed technical comparison of Coze, Dify, and FastGPT across product positioning, architecture, model integration, workflow orchestration, knowledge‑base implementation, and deployment scenarios to help developers choose the most suitable AI agent solution.

AIAgentKnowledge Base

0 likes · 11 min read

Coze vs Dify vs FastGPT: Which AI Agent Platform Fits Your Needs?

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

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.

AI AgentCursor AgentData Automation

0 likes · 26 min read

How AI Agents Turn Manual Data Retrieval into Fully Automated Insights

Sohu Tech Products

May 28, 2025 · Artificial Intelligence

Introducing AIFlowy: An Open‑Source Java‑Based One‑Stop AI Application Development Platform

AIFlowy is a Java‑powered, open‑source, enterprise‑grade AI platform that offers a bot for natural‑language interaction, extensible plugins, a knowledge‑base with RAG support, and visual workflow automation, enabling developers to quickly build and customize AI applications for domestic B2B scenarios.

AIBotJava

0 likes · 10 min read

Introducing AIFlowy: An Open‑Source Java‑Based One‑Stop AI Application Development Platform

Eric Tech Circle

May 22, 2025 · Artificial Intelligence

Build a Fast, Zero‑Cost Local AI Knowledge Base with Ollama, Cherry Studio, and Qwen‑3

This guide walks you through building a high‑performance local AI knowledge base using Ollama, Cherry Studio, and the Qwen‑3 model, covering RAG fundamentals, model selection, document preparation, system configuration, and step‑by‑step UI operations for non‑programmers.

AIKnowledge BaseOllama

0 likes · 13 min read

Build a Fast, Zero‑Cost Local AI Knowledge Base with Ollama, Cherry Studio, and Qwen‑3

Qunhe Technology Quality Tech

May 22, 2025 · Artificial Intelligence

How AI Is Revolutionizing Ticket Management: Capabilities and Real-World Impact

In the era of digital transformation, AI-powered ticketing systems boost response speed, automate classification, enable intelligent Q&A, proactive fault alerts, and self‑learning knowledge bases, dramatically improving customer satisfaction and operational efficiency across enterprises.

AIAutomationKnowledge Base

0 likes · 13 min read

How AI Is Revolutionizing Ticket Management: Capabilities and Real-World Impact

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

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

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 ApplicationsDeepSeek

0 likes · 10 min read

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

Alibaba Cloud Developer

Apr 21, 2025 · Artificial Intelligence

Building a Private Knowledge‑Base Q&A Agent with MCP: A Hands‑On Guide

This article explores the rapid rise of AI agents, explains the Model Context Protocol (MCP) standard, and provides a step‑by‑step implementation of a private knowledge‑base Q&A system using Python and Java, covering knowledge construction, retrieval, architecture, and deployment details.

AI AgentJavaKnowledge Base

0 likes · 9 min read

Building a Private Knowledge‑Base Q&A Agent with MCP: A Hands‑On Guide

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

Data Thinking Notes

Apr 1, 2025 · Artificial Intelligence

Why AI Alone Can’t Solve Data Governance: Build a High‑Quality Data Asset Knowledge Base

The article emphasizes that while AI can assist data governance, organizations must first build a solid, high‑quality data asset knowledge base through sustained effort, otherwise they will face the inevitable problem of garbage‑in‑garbage‑out.

AIData GovernanceData Quality

0 likes · 3 min read

Why AI Alone Can’t Solve Data Governance: Build a High‑Quality Data Asset Knowledge Base

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

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.

AIHybrid CloudKnowledge Base

0 likes · 10 min read

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