Articles tagged "カスタマーサポート"

A neutral look at what chatbots, AI-assisted replies, and FAQ tools can realistically handle in customer support — and how to design the handoff between AI and human staff.

This article explains how to build a RAG (Retrieval-Augmented Generation) customer support system by combining Ollama's embedding models with OpenClaw agents. Through vector database integration, you can generate accurate answers from FAQ documents and deploy AI support across multiple channels like LINE and Slack.

Learn how to build a fully offline AI customer support system using OpenClaw and Qwen3.5-9B. Discover the benefits of offline operation from data privacy, cost reduction, and reliability perspectives, with detailed coverage from architecture design to FAQ automation.

A comprehensive guide to building a zero-cost internal chatbot using Qwen3.5-9B. Covers architecture design with vector databases, Gradio/Streamlit web UI construction, system prompt engineering for business use, conversation memory management, RAG-based document Q&A integration, Slack/Teams/LINE connectivity, multi-turn dialogue optimization, response quality tuning, deployment options, and monitoring strategies.