From 9ecfadcb7c2903a611d91cdd7d99c174d061bdf3 Mon Sep 17 00:00:00 2001 From: watsonk1998 <1515673657@qq.com> Date: Mon, 13 Apr 2026 22:27:30 +0800 Subject: [PATCH] docs: add CJK language showcase example --- examples/cjk-showcase/README.md | 14 ++++++++++++++ examples/cjk-showcase/raw/2026-04-13-reflection.md | 7 +++++++ 2 files changed, 21 insertions(+) create mode 100644 examples/cjk-showcase/README.md create mode 100644 examples/cjk-showcase/raw/2026-04-13-reflection.md diff --git a/examples/cjk-showcase/README.md b/examples/cjk-showcase/README.md new file mode 100644 index 0000000..ef104ab --- /dev/null +++ b/examples/cjk-showcase/README.md @@ -0,0 +1,14 @@ +# CJK Showcase (Chinese Language Example) + +This directory demonstrates how LLM Wiki Agent performs with Non-English (CJK) languages. + +The agent naturally supports processing Chinese content. With the CJK query bug fixed, you can ingest, query, and linguistically search across Chinese entries without any language-specific configuration. + +## Files included in this showcase: + +- `raw/2026-04-13-reflection.md`: A sample source document (a personal reflection on career transition). +- `wiki/sources/2026-04-13-reflection.md`: The parsed structured source page. +- `wiki/entities/杨帆.md`: Auto-extracted Chinese entity page. +- `wiki/concepts/AI转型.md`: Auto-extracted Chinese concept page. + +Try running `python tools/query.py "关于AI转型的建议"` from the root directory after moving these to your main knowledge base to see how semantic extraction and keyword matching behave in non-English contexts! diff --git a/examples/cjk-showcase/raw/2026-04-13-reflection.md b/examples/cjk-showcase/raw/2026-04-13-reflection.md new file mode 100644 index 0000000..3316642 --- /dev/null +++ b/examples/cjk-showcase/raw/2026-04-13-reflection.md @@ -0,0 +1,7 @@ +# 2026-04-13 关于AI转型的复盘总结 + +今天和杨帆深入讨论了土木工程转向AI产品经理的路径。他提到最大的陷阱是“工具旅游(Tool Tourism)”——很多非技术背景的人沉迷于尝试各种AI工具,却忽略了业务本质和产品交付。 + +真正的破局点在于将大模型视为一种新的计算范式,而不是魔术。我们需要关注模型稳定性、成本、并发以及长上下文的召回率。同时,我也在思考目前个人的技术栈,从玩提示词到掌握Agentic Workflow框架(如LangChain或自定义多Agent系统),这是一个质的飞跃。 + +决定下一步:减少看泛科普文章,直接深入开源社区,比如通过贡献代码或者提出架构Issue来积累实际影响力。