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knowledge base

221 articles · Page 2 of 3
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 InterviewChunkingRAG
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 Controle-commerceknowledge base
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 AIVector Retrieval
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 AIRAGRetrieval-Augmented Generation
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 programmingcode qualityhuman-AI collaboration
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.

AutoMLFeedback LoopLLM
0 likes · 12 min read
How TS‑Agent Uses LLMs and Reflective Feedback to Automate Financial Time‑Series Modeling
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 13, 2025 · Artificial Intelligence

Building Reliable AI Agents: A Practical Guide from Prompt Engineering to Workflows and Knowledge Bases

This article systematically explains how to build a reliable, production‑ready AI agent by covering its core architecture—LLM, prompts, workflow, RAG, and tools—detailing prompt‑engineering techniques, DSL‑based workflow design, knowledge‑base construction, security considerations, and project planning methods.

AI AgentLLMRAG
0 likes · 17 min read
Building Reliable AI Agents: A Practical Guide from Prompt Engineering to Workflows and Knowledge Bases
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 11, 2025 · Artificial Intelligence

Why System Architecture Beats Model Choice in AI Agent Deployments

The article explains that successful AI Agent deployments require a multi‑layered architecture—model, framework, and tool layers—detailing how LangChain, LangGraph, and MCP work together, and provides concrete implementation steps, best‑practice recommendations, and a roadmap from a minimal agent to an enterprise‑grade system.

AI IDEAI agentsLangChain
0 likes · 12 min read
Why System Architecture Beats Model Choice in AI Agent Deployments
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.

CozeMulti-agentagent platform
0 likes · 13 min read
Coze Low-Code Agent Platform: In‑Depth Look at Its Six Core Features
BanTech Think Tank
BanTech Think Tank
Oct 9, 2025 · Artificial Intelligence

How a Chinese Bank Leveraged Large‑Model AI to Automate Test Case Generation

The Postal Savings Bank of China built an AI‑driven, engineering‑plus‑agent framework that evaluates large models, decouples generation from formatting, integrates a knowledge‑base with RAG, and delivers a pilot‑tested service that boosts test case adoption rates by up to 3.7 times while cutting manual effort to hours.

AIRetrieval-Augmented Generationbanking technology
0 likes · 11 min read
How a Chinese Bank Leveraged Large‑Model AI to Automate Test Case Generation
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.

DeepDocIntelligent ChunkingLLM
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.

AILLMRAG
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.

AIMuiseRAG
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 IntelligenceRAGintelligent operations
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 debuggingLLMRAG
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 LoadingTinyMCEfrontend development
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.

AIDifyLLM
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 testingadaptive automationknowledge base
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.

AIRAGcode generation
0 likes · 13 min read
Why AI‑Generated Code Often Misses the Mark and How a Code Knowledge Base Fixes It
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 DeploymentDifyRAG
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.

AIResponsible AIknowledge base
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.

AIFlow ControlRetrieval-Augmented Generation
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.

AI AgentCursor AgentData Automation
0 likes · 26 min read
How AI Agents Turn Manual Data Retrieval into Fully Automated Insights
Ubiquitous Tech
Ubiquitous Tech
May 25, 2025 · Artificial Intelligence

Understanding RAG: The Core Capability Behind AI Customer Service

This article explains why Retrieval‑Augmented Generation (RAG) is essential for AI‑driven customer service, outlines the limitations of large language models, details the three‑stage RAG workflow (indexing, retrieval, generation), and shows how to implement it with FastGPT, vector databases, and LangChain.

AI Customer ServiceFastGPTLangChain
0 likes · 16 min read
Understanding RAG: The Core Capability Behind AI Customer Service
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.

AILLMRAG
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 platformLLM
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
Ubiquitous Tech
Ubiquitous Tech
Mar 28, 2025 · Artificial Intelligence

Building a RAG‑Powered AI Customer Service for Tongcheng Travel FAQs with FastGPT

The article walks through creating a Retrieval‑Augmented Generation (RAG) based AI chatbot for Tongcheng Travel by preparing FAQ data, formatting it with L1/L2/Q/A tags, importing it into FastGPT knowledge bases, configuring a workflow with intent classification and prompt engineering, and validating the system with multiple test cases.

AI chatbotFastGPTRAG
0 likes · 15 min read
Building a RAG‑Powered AI Customer Service for Tongcheng Travel FAQs with FastGPT
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 MemoryDifyLLM
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.

AIcost analysisdeployment
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.

AIDeepSeekSpring Boot
0 likes · 5 min read
Open-Source Enterprise Knowledge Base and Intelligent Dialogue Platform Based on Spring Boot and DeepSeek
Subtle Storm
Subtle Storm
Mar 11, 2025 · Artificial Intelligence

Core Principles for Daily Use of DeepSeek Prompt Engineering

The article presents a structured methodology for crafting DeepSeek prompts, covering a four‑element template, scenario‑specific techniques, high‑frequency use cases such as data analysis, document generation, and automation, advanced knowledge‑base customization, tool integration, reliability checks, workflow optimization, and common pitfalls.

AI workflowData AnalysisDeepSeek
0 likes · 9 min read
Core Principles for Daily Use of DeepSeek Prompt Engineering
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.

AIDeepSeekLLM
0 likes · 6 min read
How to Quickly Build a DeepSeek‑Powered Knowledge Base on Tencent Cloud
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
Ubiquitous Tech
Ubiquitous Tech
Feb 7, 2025 · Artificial Intelligence

How to Build an AI Customer Service Bot Using FastGPT Knowledge Base (Part 1)

This article walks through the entire process of setting up an AI-powered customer service chatbot with FastGPT, covering the installation of Docker containers, configuring model keys, creating a knowledge base from Q&A pairs, indexing with RAG, building a simple application, testing queries, and publishing the bot for use.

AI chatbotDockerFastGPT
0 likes · 15 min read
How to Build an AI Customer Service Bot Using FastGPT Knowledge Base (Part 1)
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 PAILLMLegal AI
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.

AIRAGknowledge base
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 assistantBaileiCustomer Service
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.

AIMulti-agentRAG
0 likes · 14 min read
Engineering Architecture of Alibaba's AI Digital Employee "AI XiaoWan"
Aikesheng Open Source Community
Aikesheng Open Source Community
Nov 12, 2024 · Artificial Intelligence

ChatDBA: An AI‑Powered Database Fault Diagnosis Assistant Using Large Language Models

ChatDBA is a conversational AI system built by Shanghai Aikesheng that employs large language models and Retrieval‑Augmented Generation to help database administrators diagnose faults, learn domain knowledge, and generate or optimize SQL, with a redesigned architecture that addresses early‑stage shortcomings and outlines future enhancements.

ChatDBAInformation RetrievalLLM
0 likes · 10 min read
ChatDBA: An AI‑Powered Database Fault Diagnosis Assistant Using Large Language Models
JD Tech
JD Tech
Oct 31, 2024 · Artificial Intelligence

Design and Implementation of the Logistics Intelligent Robot “Yunli XiaoZhi” Powered by Large Language Models

The article details the development of Yunli XiaoZhi, an AI‑driven logistics chatbot that combines knowledge‑base Q&A, data‑analysis, proactive alerts and report‑pushing to streamline SOP access, reduce manual query effort, and improve operational efficiency for operators, carriers and drivers.

AI chatbotData AnalysisRAG
0 likes · 22 min read
Design and Implementation of the Logistics Intelligent Robot “Yunli XiaoZhi” Powered by Large Language Models
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Oct 28, 2024 · Artificial Intelligence

How AI Is Redefining the Enterprise CIO Role – Insights from Alibaba Cloud’s CIO

In a detailed interview, Alibaba Cloud’s CIO Jiang Linquan discusses how rapid AI advancements—from large language models to multimodal and reasoning systems—are reshaping CIO responsibilities, accelerating enterprise information system intelligence, and driving new strategies for knowledge bases, customer service, and cross‑departmental adoption.

AICIOCustomer Service
0 likes · 14 min read
How AI Is Redefining the Enterprise CIO Role – Insights from Alibaba Cloud’s CIO
AntData
AntData
Oct 16, 2024 · Artificial Intelligence

Building a Data Assistant Application with DB‑GPT V0.6.0

This tutorial walks through the end‑to‑end process of creating a data‑assistant application using DB‑GPT V0.6.0, covering prerequisite deployment, knowledge‑base construction, sub‑agent creation, RAG‑based QA, AWEL workflow installation, intent‑recognition knowledge base, and unified multi‑agent orchestration.

AIDB-GPTData Assistant
0 likes · 12 min read
Building a Data Assistant Application with DB‑GPT V0.6.0
JD Cloud Developers
JD Cloud Developers
Sep 30, 2024 · Artificial Intelligence

How a Large‑Model Powered Bot Boosts Logistics Ops with Smart Q&A and Data Insights

This article describes the design, implementation, and impact of a large‑model‑driven logistics chatbot that unifies knowledge Q&A, data analysis, proactive alerts, and report pushing to streamline operations for functional staff, frontline workers, and managers, dramatically reducing query time and improving decision efficiency.

AI chatbotData AnalysisEnterprise AI
0 likes · 20 min read
How a Large‑Model Powered Bot Boosts Logistics Ops with Smart Q&A and Data Insights
JD Tech Talk
JD Tech Talk
Sep 30, 2024 · Artificial Intelligence

Yunli XiaoZhi: An AI‑Powered Intelligent Assistant for Knowledge Q&A and Data Analysis in Logistics Operations

The document describes the design, implementation, and operational results of Yunli XiaoZhi, an AI‑driven portable knowledge‑base and data‑analysis chatbot that consolidates SOPs, manuals, and real‑time information for logistics staff, using LangChain‑based RAG, vector databases, and large‑model prompting to improve query efficiency, proactive alerts, and reporting across multiple user groups.

AIData AnalysisRAG
0 likes · 19 min read
Yunli XiaoZhi: An AI‑Powered Intelligent Assistant for Knowledge Q&A and Data Analysis in Logistics Operations
JD Tech Talk
JD Tech Talk
Aug 19, 2024 · Artificial Intelligence

AI‑Driven Automated Question Generation for Aviation Maintenance Training

The article describes how JD Aviation’s maintenance department uses a vector‑based knowledge base and large‑language‑model services to automatically generate, evaluate, and maintain training exam questions, addressing the rapid growth of manuals, frequent updates, and the heavy manual workload of traditional test creation.

AIknowledge baselarge language model
0 likes · 12 min read
AI‑Driven Automated Question Generation for Aviation Maintenance Training
37 Interactive Technology Team
37 Interactive Technology Team
Aug 12, 2024 · Backend Development

Intelligent Backend Menu Search with OpenAI Embeddings, LangChain, and DIFY

The article demonstrates how to improve backend menu navigation by building a knowledge base of menu metadata, generating concise Chinese descriptions with OpenAI embeddings, and implementing RAG retrieval using both LangChain code orchestration and DIFY’s visual workflow, highlighting each approach’s flexibility and ease of use.

Backend SearchLangChainOpenAI Embedding
0 likes · 9 min read
Intelligent Backend Menu Search with OpenAI Embeddings, LangChain, and DIFY
Data Thinking Notes
Data Thinking Notes
Jun 20, 2024 · Artificial Intelligence

Leveraging LLMs for Data: Embedding Search, Knowledge Bases, Text2SQL, and EDA

This article explores how large language models can transform data workflows by using embeddings for semantic search, building private domain knowledge bases, generating SQL code from natural language with visualized results, and enhancing exploratory data analysis, outlining practical steps and benefits for enterprises.

EDALLMembedding
0 likes · 7 min read
Leveraging LLMs for Data: Embedding Search, Knowledge Bases, Text2SQL, and EDA
Java Backend Technology
Java Backend Technology
May 8, 2024 · Artificial Intelligence

Explore the Latest Open‑Source AI Projects: Llama 3, MaxKB, Phidata & RAGFlow

This article highlights four cutting‑edge open‑source AI initiatives—Meta’s Llama 3 large language model, the MaxKB knowledge‑base Q&A system, the Phidata framework for building AI assistants, and the RAGFlow retrieval‑augmented generation engine—detailing their capabilities, licensing, and where to access the code.

AILLMRAG
0 likes · 7 min read
Explore the Latest Open‑Source AI Projects: Llama 3, MaxKB, Phidata & RAGFlow
DaTaobao Tech
DaTaobao Tech
Apr 17, 2024 · Artificial Intelligence

Challenges and Practices of LLM‑Based Knowledge Bases and Personal Assistants

The article examines how LLM‑driven knowledge‑base QA and personal‑assistant agents struggle with context management, token limits, multimodal data, and tool‑parameter parsing, reviews open‑source frameworks such as LangChain, AutoGen and MetaGPT, and argues that fine‑tuning (e.g., LoRA) is essential for domain‑specific, scalable solutions.

AgentFine-tuningLLM
0 likes · 11 min read
Challenges and Practices of LLM‑Based Knowledge Bases and Personal Assistants
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Mar 10, 2024 · Artificial Intelligence

Building and Optimizing AI Bots with Coze: A Step‑by‑Step Low‑Code Guide

This article explains how to create, configure, and enhance AI bots on the Coze platform using a three‑step process, advanced workflow design, prompt engineering, and plugin integration, providing practical tips, code examples, and best‑practice recommendations for reliable content extraction and summarization.

AI botCozeLow‑code
0 likes · 18 min read
Building and Optimizing AI Bots with Coze: A Step‑by‑Step Low‑Code Guide
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Mar 8, 2024 · Artificial Intelligence

Building a Coze Bot for Weekend Activity Recommendations with Data Retrieval and Custom Plugins

This article walks through creating a Coze chatbot that recommends weekend attractions and events by designing prompt‑based workflows, leveraging official plugins, scraping city‑level data, constructing a knowledge base, handling pagination with code nodes, and finally deploying the bot for real‑time user queries.

AI promptBot DevelopmentCoze
0 likes · 20 min read
Building a Coze Bot for Weekend Activity Recommendations with Data Retrieval and Custom Plugins
JD Tech
JD Tech
Feb 23, 2024 · Operations

Optimizing IT Ticket Management: Process Reengineering, Automation, Knowledge‑Base Pre‑position and Intelligent Q&A Integration

This article presents a comprehensive case study of how an IT operations team reduced weekly ticket volume from over 150 to fewer than 20 by classifying issues, redesigning workflows, introducing automation tools, deploying a knowledge‑base pre‑position strategy, and integrating an intelligent question‑answering chatbot.

ElasticsearchIT OperationsIntelligent QA
0 likes · 11 min read
Optimizing IT Ticket Management: Process Reengineering, Automation, Knowledge‑Base Pre‑position and Intelligent Q&A Integration
Baidu Geek Talk
Baidu Geek Talk
Feb 7, 2024 · Artificial Intelligence

Design and Implementation of a Knowledge-Base Intelligent Q&A System for Database Operations Using Large Models

The paper details Baidu Intelligent Cloud’s design and deployment of a domain‑specific knowledge‑base Q&A system for database operations, combining prompt‑engineered LLMs with hybrid vector‑search using LangChain, BES vector store, and custom ingestion, addressing recall, token limits, and hallucination challenges across dashboard and IM bot interfaces.

AILangChaindatabase operations
0 likes · 16 min read
Design and Implementation of a Knowledge-Base Intelligent Q&A System for Database Operations Using Large Models
DataFunSummit
DataFunSummit
Jan 5, 2024 · Artificial Intelligence

Multimodal Large Model Platform: History, Architecture, Practices, and Future Outlook by Jiuzhang Yunji DataCanvas

This article reviews the evolution of multimodal large models, introduces Jiuzhang Yunji DataCanvas' multimodal model platform—including AI foundation software, model tools, serving, and prompt management—shares practical building methods, memory‑augmented models, ETL pipelines, knowledge‑base applications, and offers a forward‑looking perspective on enterprise data management and intelligent agents.

AI Foundation SoftwarePlatform Architectureknowledge base
0 likes · 14 min read
Multimodal Large Model Platform: History, Architecture, Practices, and Future Outlook by Jiuzhang Yunji DataCanvas
DaTaobao Tech
DaTaobao Tech
Dec 27, 2023 · Artificial Intelligence

Deploying a Private LLM Knowledge Base on a MacBook

The guide walks through installing and quantizing the open‑source ChatGLM3‑6B model and the m3e‑base embedder on a MacBook, wrapping them with a FastAPI OpenAI‑compatible service, routing requests through a One‑API gateway, storing metadata in MongoDB and vectors in PostgreSQL pgvector, deploying FastGPT for RAG, ingesting data, and demonstrating 5‑7 second response times, while outlining future improvements.

ChatGLM3FastAPILLM
0 likes · 23 min read
Deploying a Private LLM Knowledge Base on a MacBook
Efficient Ops
Efficient Ops
Dec 3, 2023 · Artificial Intelligence

How to Build a Zabbix Expert Advisor with GPT‑4 in Minutes

This guide walks you through why GPT‑4 outperforms GPT‑3.5, shows step‑by‑step how to create a Zabbix expert consultant using the new GPTs feature, and explains advanced configuration, knowledge‑base feeding, testing, and future possibilities for AI‑enhanced monitoring.

AI assistantGPT-4automation
0 likes · 7 min read
How to Build a Zabbix Expert Advisor with GPT‑4 in Minutes
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Nov 29, 2023 · Artificial Intelligence

Building a Private LLM‑Powered Knowledge Base with LangChain and ChatGLM3

This article explains how to migrate personal notes into a private knowledge base by combining a large language model with an external vector store, detailing the concepts of tokenization, embedding, vector databases, and step‑by‑step deployment using LangChain‑Chatchat and the open‑source ChatGLM3 model.

ChatGLM3LLMLangChain
0 likes · 10 min read
Building a Private LLM‑Powered Knowledge Base with LangChain and ChatGLM3
Ximalaya Technology Team
Ximalaya Technology Team
Nov 13, 2023 · Artificial Intelligence

Step-by-Step Guide to Creating Custom GPTs with Knowledge and Action Plugins

This step‑by‑step tutorial shows how to build a custom nutrition‑analysis GPT—named “Nutri Buddy”—by logging into ChatGPT, creating a GPT, uploading knowledge files, configuring an Action plugin that calls the Boohee food API for calorie, protein and carbohydrate data, and then publishing the assistant with private, link‑only, or public visibility.

API integrationCustom AIGPT
0 likes · 8 min read
Step-by-Step Guide to Creating Custom GPTs with Knowledge and Action Plugins
Data Thinking Notes
Data Thinking Notes
Nov 12, 2023 · Artificial Intelligence

Unlocking LLM Power: Semantic Search, Private Knowledge Bases, and Text‑to‑SQL for Data Teams

This article explores how large language models can boost data workflows by using embeddings for semantic retrieval, building domain‑specific knowledge bases for private Q&A, generating SQL code from natural language, and automating exploratory data analysis, offering practical steps and visual examples.

LLMembeddingexploratory data analysis
0 likes · 7 min read
Unlocking LLM Power: Semantic Search, Private Knowledge Bases, and Text‑to‑SQL for Data Teams
JD Retail Technology
JD Retail Technology
Nov 10, 2023 · Operations

How RPA Powers 24/7 WeChat Smart Customer Service for E‑commerce Ops

Facing rapid business growth and limited after‑sales resources, a company built an RPA‑driven intelligent WeChat customer service that monitors hundreds of groups, dynamically routes queries to a knowledge base or human agents, and operates 24/7 to improve response speed and reduce workload.

Customer Service AutomationEnterprise MessagingRPA
0 likes · 6 min read
How RPA Powers 24/7 WeChat Smart Customer Service for E‑commerce Ops
DataFunTalk
DataFunTalk
Oct 19, 2023 · Artificial Intelligence

Multimodal Large Model Platform: History, Architecture, and Practice by Nine Chapters Cloud Extreme DataCanvas

This article presents Nine Chapters Cloud Extreme DataCanvas's insights and practices on multimodal large model platforms, covering their historical development, platform components such as AI Foundation Software and Prompt Manager, practical implementations like memory-augmented models and ETL pipelines, and future prospects for enterprise knowledge bases and agents.

AI platformknowledge basemultimodal AI
0 likes · 13 min read
Multimodal Large Model Platform: History, Architecture, and Practice by Nine Chapters Cloud Extreme DataCanvas
ByteFE
ByteFE
Oct 11, 2023 · Artificial Intelligence

CR Copilot: An Open‑Source LLM‑Based Code Review Assistant with Private Knowledge Base

This article describes the design and implementation of a code‑review assistant powered by open‑source large language models and a privately hosted knowledge base, covering background, pain points, system architecture, model selection, vector‑store integration, prompt engineering, diff parsing, and practical reflections.

AICode ReviewLLM
0 likes · 24 min read
CR Copilot: An Open‑Source LLM‑Based Code Review Assistant with Private Knowledge Base
HomeTech
HomeTech
Sep 26, 2023 · Artificial Intelligence

Integrating Large Language Models with Search for Automotive Knowledge Retrieval

This article explores how combining traditional keyword search with large language models (LLMs) enhances understanding of user intent, builds a robust automotive knowledge base, and delivers more accurate, context‑aware answers through a multi‑stage retrieval and generation pipeline.

AIAutomotiveLLM
0 likes · 17 min read
Integrating Large Language Models with Search for Automotive Knowledge Retrieval
Volcano Engine Developer Services
Volcano Engine Developer Services
Sep 19, 2023 · Databases

Unlocking AI with Vector Databases: Architecture, Optimization, and Real-World Cases

This article explores how vector databases serve as the memory layer for large AI models, detailing their distributed, compute‑separated architecture, performance optimizations, hybrid vector‑scalar retrieval, and practical deployments across TikTok’s ecosystem such as image search, intelligent Q&A, and multimodal AI services.

AIDistributed Architectureknowledge base
0 likes · 11 min read
Unlocking AI with Vector Databases: Architecture, Optimization, and Real-World Cases
UCloud Tech
UCloud Tech
Sep 11, 2023 · Artificial Intelligence

Build a Soul‑Healing Chatbot with LangChain & Llama 2: A Step‑by‑Step Guide

This article walks through constructing a domain‑specific, soul‑healing chatbot using LangChain and Llama 2, comparing fine‑tuning versus external knowledge bases, detailing environment setup, data loading, text splitting, embedding with a Chinese model, vector store creation, prompt engineering, inference, and optimization strategies.

Fine-tuningLangChainLlama 2
0 likes · 14 min read
Build a Soul‑Healing Chatbot with LangChain & Llama 2: A Step‑by‑Step Guide
Tencent Cloud Developer
Tencent Cloud Developer
Jul 24, 2023 · Artificial Intelligence

Building an Internal Code Knowledge Base with Embedding and AST Interpreter

The author builds an internal code knowledge base for the TDesign Vue‑Next library by scraping documentation, chunking and embedding texts with OpenAI’s ada model into a vector store, then retrieving relevant chunks for LLM answers, and enhances context continuity using a JavaScript AST interpreter, achieving up to 90 % query accuracy and a 20 % productivity boost.

ASTLLMLangChain
0 likes · 11 min read
Building an Internal Code Knowledge Base with Embedding and AST Interpreter
DataFunTalk
DataFunTalk
Mar 18, 2023 · Artificial Intelligence

Evaluating ChatGPT on Complex Knowledge‑Base Question Answering Using a Feature‑Driven Multi‑Label Framework

This study presents a comprehensive evaluation of ChatGPT's ability to answer complex knowledge‑base questions by introducing a feature‑driven multi‑label classification framework and applying the CheckList black‑box testing methodology across eight KB‑based CQA datasets, comparing its performance with GPT‑3, GPT‑3.5 and FLAN‑T5.

ChatGPTChecklistComplex QA
0 likes · 24 min read
Evaluating ChatGPT on Complex Knowledge‑Base Question Answering Using a Feature‑Driven Multi‑Label Framework
Efficient Ops
Efficient Ops
Jan 16, 2023 · Operations

How China Mobile’s AIOps Tools Achieved Top‑Tier Evaluation and What It Means for Smart Operations

The article explains AIOps concepts, details China Mobile Information's award‑winning intelligent operations tools, shares an interview with deputy general manager Liang Enlei on their development, evaluation experience, future plans, and introduces the national AIOps maturity model and its key modules.

AIOpsArtificial IntelligenceCapacity Forecasting
0 likes · 11 min read
How China Mobile’s AIOps Tools Achieved Top‑Tier Evaluation and What It Means for Smart Operations
AntTech
AntTech
Aug 16, 2022 · Product Management

Interview on the Origin, Strategy, and Product Positioning of Yuque (语雀)

The interview details Yuque's inception as an internal Ant Group project, its evolution from a document tool to a structured knowledge‑base platform, its differentiation from Google Docs and GitHub, internal adoption within Alibaba, relationships with DingTalk and Alipay, the concept of a digital garden, and its product positioning for individuals and small‑to‑medium enterprises.

Yuquedigital gardeninternal startup
0 likes · 35 min read
Interview on the Origin, Strategy, and Product Positioning of Yuque (语雀)