This guide shows how to integrate LangChain4j with Alibaba Baichuan's DashScope model in a Spring Boot application, enabling per‑user AI chat memory identified by @MemoryId, isolating conversations, and persisting the sliding‑window message history to Redis with TTL handling.
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.
This article walks you through upgrading WeChat, installing the ClawBot plugin via OpenClaw's CLI, generating and scanning a login QR code, updating OpenClaw, and testing the plugin's file, image, and voice capabilities, while highlighting its strengths and limitations.
AstrBot is an open‑source, highly modular Python platform that unifies IM adapters, LLM abstraction, and a plugin marketplace, enabling developers to deploy cross‑platform AI assistants with a single backend, as demonstrated by a quick Docker setup and support for dozens of chat services.
This guide walks you through checking Node.js version, installing OpenClaw via script or npm, configuring personal mode, selecting a model provider and API key, setting up Feishu app credentials and permissions, managing versions, pairing the bot, and using common OpenClaw command‑line tools for operation and troubleshooting.
Programmer Xiao Meng walks through a complete Windows setup for AI‑powered customer service agents using RagFlow, covering prerequisites, Docker and Ollama installation, model download, container deployment, configuration of knowledge bases, and testing, based on five real‑world projects.
This guide walks through designing and implementing an AI assistant that connects FastAPI to Alibaba Cloud large‑model services, supports streaming text Q&A, image understanding, text‑to‑image generation, network search, and MCP‑based map queries, with full front‑end and back‑end code examples.
This tutorial walks through using Zhihu's open‑source FUST microservice framework together with DeepSeek's language model API to design, implement, and deploy a scalable, high‑performance intelligent Q&A system, covering architecture, data models, service layers, and deployment scripts.
This article explains how Huolala leverages large‑model AI to overcome high‑volume, complex logistics customer inquiries, detailing specific applications such as intent summarization, emotional support, and vehicle recommendation, and showing measurable improvements in coverage, speed, accuracy, and cost.
This tutorial walks you through using Huawei's MaaS platform to claim a 2‑million‑token free DeepSeek‑R1 API, integrate it with the open‑source Dify Agent platform, configure a knowledge base, customize the chatbot’s behavior, and embed the finished AI assistant into a website.
This article provides an in‑depth overview of DeepSeek, covering its core multimodal and multilingual features, long‑context capabilities, domain optimizations, security, main functions, diverse application scenarios, and practical usage via web interface or API integration.
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.
This article describes Siemens' journey in applying generative AI and Retrieval‑Augmented Generation to create an internal knowledge chatbot, detailing the business challenges, technical architecture, data integration, multi‑modal capabilities, deployment outcomes, and strategic lessons for enterprise AI adoption.
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.
This guide introduces Coze, ByteDance's AI chatbot and app‑development platform that offers free ChatGPT‑4 access, outlines its core features such as plugins, knowledge bases, workflows and multi‑platform integration, and provides a step‑by‑step tutorial for creating and publishing your own AI bot.
Senior developer Jon Olson shares how he created an AI resume assistant using GPT‑4/3.5, LangChain, LlamaIndex, and retrieval‑augmented generation, detailing prompt engineering, backend integration, and future routing features to help job seekers showcase their skills.
This tutorial explains how to develop an online consulting chatbot using the ChatGPT PHP library, covering prerequisite setup, API key acquisition, installation, client creation, multi‑turn conversation handling, response extraction, and output, with complete code examples.
This article explains step-by-step how to develop an intelligent ChatGPT-powered chatbot with PHP, covering environment setup, installing the PHP ChatGPT library, writing code to send messages and receive responses via the OpenAI API, and testing the bot with example scripts.
Forefront Chat, launched on April 21, provides free access to GPT‑4 and GPT‑3.5 without a subscription, offering model switching, role‑play characters, image generation, and chat sharing, while the author’s hands‑on tests reveal its capabilities, performance differences, and current service constraints.
This guide walks you through registering an OpenAI account, obtaining an API key, understanding the completions endpoint parameters, and implementing a ChatGPT chatbot with both a plain JavaScript/HTML front‑end and a Spring Boot back‑end, including full code samples.
Google unveiled its new conversational AI, Bard, built on the LaMDA model, positioning it as a direct competitor to ChatGPT; the article details its public testing, technical foundations, feature set, and key differences such as real‑time web integration and cost‑free access.
A programmer created an interactive, voice‑enabled AI "waifu" named ChatGPT‑chan by combining ChatGPT, Stable Diffusion 2, Azure neural TTS and computer‑vision, detailing its personality setup, visual generation, cost of cloud resources, and the emotional impact of treating an AI like a partner.
This step‑by‑step guide walks developers through creating a ChatGPT‑powered WeChat mini program—from obtaining a mini‑program account and OpenAI API key, setting up the WXML/WXSS/JS project structure, integrating WeUI components, building a Node‑Egg backend, configuring Tencent Cloud API Gateway, to uploading, reviewing, and publishing the app.
This article details how Ctrip transformed its technical support team into a public TS organization, describing the evolution of its support models, the architecture of its operation system, AI‑driven service accounts, wiki automation, crawler tools, tagging strategies, monitoring dashboards, and future plans to enhance efficiency and user satisfaction.
This article details the design, architecture, key technologies, and deployment of Xiaosi, an AI‑powered intelligent customer service chatbot built on the internal IM platform, highlighting its problem‑diagnosis accuracy, manpower savings, adapter mechanism, high‑availability backend, and practical use cases.
This article describes how 58.com’s AI Lab built and continuously improved the QABot intelligent customer‑service system by designing classification and retrieval models, evaluating FastText, LSTM‑DSSM, BERT and a self‑developed SPTM framework, and finally fusing them to boost answer rates and user experience.
This article outlines the key 2021 web development trends—including Progressive Web Apps, dark‑mode UI, AI chatbots, single‑page sites, voice search, enhanced security, and cloud computing—explaining their benefits, industry adoption, and why developers must embrace them to stay competitive.
The article reviews the September 21 cloud‑development salon, detailing how Mini‑Program cloud services simplify backend setup, introduce serverless cloud calls, real‑time database push, value‑added functions and network interconnect, and showcases practical use cases such as game data streaming, AI chatbots, SCRM construction and movie‑ticketing operations.
This article explores how Jisu Application leverages Tencent's mini‑program cloud development platform and serverless services to build efficient AI‑driven chatbots, detailing the platform's architecture, integration steps, backend management, and future enhancements for low‑cost, high‑performance mini‑program solutions.
At the 15th China ECR Conference in Hangzhou, JD.com’s Vice President Ma Song highlighted the company’s technology‑driven twelve‑year roadmap, showcasing smart supply‑chain solutions powered by big data and artificial intelligence that improve forecasting, pricing, inventory, and collaboration while enhancing the retail experience.
