Dataherald is a natural language-to-SQL engine built for enterprise-level question answering over relational data. It allows you to set up an API from your database that can answer questions in plain English. You can use Dataherald to:
Dataherald 是一种自然语言到 SQL 的引擎，专为关系数据的企业级问答而构建。它允许您从数据库中设置一个 API，可以用简单的英语回答问题。您可以使用 Dataherald 来：
- Allow business users to get insights from the data warehouse without going through a data analyst
允许业务用户从数据仓库中获取见解，而无需通过数据分析师 - Enable Q+A from your production DBs inside your SaaS application
从 SaaS 应用程序内的生产数据库启用问答 - Create a ChatGPT plug-in from your proprietary data
根据您的专有数据创建 ChatGPT 插件
This repository contains four components under /services which can be used together to set up an end-to-end Dataherald deployment:
该存储库包含 /services 下的四个组件，可以一起使用它们来设置端到端 Dataherald 部署：
- Engine: The core natural language-to-SQL engine. If you would like to use the dataherald API without users or authentication, running the engine will suffice.
引擎：核心自然语言到 SQL 引擎。如果您想在没有用户或身份验证的情况下使用 dataherald API，运行引擎就足够了。 - Enterprise: The application API layer which adds authentication, organizations and users, and other business logic to Dataherald.
企业：应用程序 API 层，向 Dataherald 添加身份验证、组织和用户以及其他业务逻辑。 - Admin-console: The front-end component of Dataherald which allows a GUI for configuration and observability. You will need to run both engine and enterprise for the admin-console to work.
管理控制台：Dataherald 的前端组件，允许使用 GUI 进行配置和可观察性。您需要运行引擎和企业才能使管理控制台正常工作。 - Slackbot: A slackbot which allows users from a slack channel to interact with dataherald. Requires both engine and enterprise to run.
Slackbot：一个 slackbot，允许 Slack 通道的用户与 dataherald 交互。需要引擎和企业来运行。
For more information on each component, please take a look at their README.md files.
有关每个组件的更多信息，请查看其 README.md 文件。