A Customer-Support Knowledge-Base Bot
What this scenario solves
Support answers the same questions daily, new hires ramp slowly, and knowledge is scattered across documents.
Tool stack
Not the only solution, but a stack we have verified end to end. Each tool links to its full review, including who it is not for.
What you end up with
A support bot that answers from internal documents, escalates to a human when unsure, and reports hit-rate statistics.
Full steps
- 01核心組件拆解
- 02完整 RAG Pipeline 代碼
Articles carrying the full content
- RAG In-Depth Principles and Practice: A Complete Guide from Chunking to Rerank
The complete tech stack for Retrieval-Augmented Generation (RAG): Embedding selection, Chunking strategies, vector database comparison, Rerank optimization, with practical code examples.
2026-05-1011 minRead - Cross-Channel Memory Hub: A Full Record of the Memory System Architecture Design for OpenClaw Agent
From daily forgetting to automatic cross-channel integration: a complete record of the architectural evolution of the UltraClaw memory system, Session isolation issues, time zone boundary bugs, the three-layer protection mechanism, and the Cron automation integration pipeline.
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2026-09-3012 minRead - AI 的三個層次:聊天型、協作型、代理型
同樣叫 AI,能力與成本結構差很多。這篇用聊天型、協作型、代理型三個層次拆解市面工具的差別,給你一張判斷表,先釐清需求屬於哪一層,再談選型與預算,避免花錯錢、用錯工具。
2026-09-308 minRead - AI Agent 是什麼:從 ChatGPT 到會自己做事的 AI
用 LLM、上下文、工具、循環四個零件拆解 AI Agent 的本質,對比聊天機器人與 Agent 的差別,給出日常、開發、商業三個例子與真實失敗模式,幫你判斷自己的需求該不該用 Agent。
2026-09-3011 minRead
Adjacent scenarios
Other scenarios using
Level: Intermediate · Tracks: Business Track · Last verified: 2026-09-29