knowledge base | BestHub

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

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

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

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

DevOps

Apr 17, 2025 · Artificial Intelligence

Building a Google Prompt‑Engineering Assistant with Coze

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

AICozeGoogle Whitepaper

0 likes · 6 min read

Building a Google Prompt‑Engineering Assistant with Coze

Architect

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.

DifyLLMRAG

0 likes · 14 min read

Agent Memory Mechanisms and Dify Knowledge Base Segmentation & Retrieval Details

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

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

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

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.

AIProject ManagementRAG

0 likes · 11 min read

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

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.

AIRAGTool Integration

0 likes · 14 min read

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

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.

ChatDBADatabase AIFault Diagnosis

0 likes · 10 min read

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

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 chatbotRAGdata analysis

0 likes · 22 min read

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

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

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 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.

AIChatbotLogistics

0 likes · 19 min read

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

DevOps

Sep 13, 2024 · Artificial Intelligence

15 Advanced Retrieval‑Augmented Generation (RAG) Techniques for Production‑Ready AI Solutions

The article outlines fifteen advanced Retrieval‑Augmented Generation (RAG) techniques—from hierarchical indexing and context caching to multimodal alignment and microservice orchestration—explaining how they help transform AI prototypes into scalable, reliable production systems while highlighting common pitfalls and a concluding call to action.

AI productionLLMMicroservices

0 likes · 8 min read

15 Advanced Retrieval‑Augmented Generation (RAG) Techniques for Production‑Ready AI Solutions

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.

AIQuestion Generationknowledge base

0 likes · 12 min read

AI‑Driven Automated Question Generation for Aviation Maintenance Training

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 SearchDIFYLangChain

0 likes · 9 min read