ochakai 是数据代理的上下文提供者。 语义层 tell 你说收入 = SUM(price) ——他们不会告诉你100是否合适 或者说是坏的。御茶会将缺失的一半保存在一个知识库：度量 定义、经过验证的黄金查询、解释知识（如何 读一个指标）、词汇表术语和表格目录条目——由 人类与特工一起，服务于克劳德·代码及其他所有人 数据代理通过MCP、REST、CLI和 捆绑网页界面。详情请见 ochak.ai。

One Go 二进制文件和 Postgres — 本地只用 Docker 和 Cloud Run 以及当云SQL真实存在时。

快速入门 ·为什么是御茶会 · 要求 ·所有文档（日语; 一页英文）· REST API ·更新日志

快速开始

三步，按顺序进行，且无选择：读某人 别人的知识，然后自保，再带队管理。

六十秒：公开演示

下面已经有一个公开演示了知识库。它写着“否” 身份（设计文档） 0066 §3），因此不存在 账户且无需配置：

演示知识库用日语写成，因为这就是 一个日本团队的知识库，这个演示就是其中之一

ochakai

ochakai is a context provider for data agents. Semantic layers tell you that revenue = SUM(price) — they don’t tell you whether 100 is good or bad. ochakai keeps that missing half in one knowledge base: metric definitions, verified golden queries, interpretation knowledge (how to read a metric), glossary terms, and table catalog entries — curated by humans and agents together, and served to Claude Code and every other data agent over MCP, REST, a CLI, and a bundled web UI. More at ochak.ai.

One Go binary and Postgres — Docker and nothing else locally, Cloud Run and Cloud SQL when it is real.

Quick start · Why ochakai · Requirements · All docs (Japanese; one page in English) · REST API · Changelog

Quick start

Three steps, in order, and nothing to choose between: read somebody else’s knowledge, then hold your own, then run it for a team.

Sixty seconds: the public demo

A public demo already holds the knowledge base below. It reads no identity (design doc 0066 §3), so there is no account and nothing to configure:

go install github.com/na0fu3y/ochakai/cmd/ochakai@latest
ochakai use https://demo.ochak.ai
ochakai search "なぜ売上が落ちているのか"
ochakai get insights/reading-revenue

The demo knowledge base is written in Japanese, because that is what a knowledge base a Japanese team keeps looks like and this demo is one (goal G5 in docs/surface.md). What stays English is what comes from the warehouse — sale_price, status = 'Complete', the SQL in the # Computation fence — so ochakai search traffic_source still reaches the Japanese concepts that carry the column: the computation that splits revenue by it, and