Connect your data sources, set up some data views with SQL, configure a GPT Assistant, create a Custom ChatGPT, and share it with your users, employees, or customers!
Hey hunters 👋!
With DataLang you can create GPT assistants and Custom GPTs from your databases.
1. Set up your Data Source (database)
2. Add some Data Views (SQL scripts)
3. Configure your GPT Assistant (from selected sources)
4. Chat with the built-in Assistant or create a custom GPT
5. Publish it on the ChatGPT store or share it privately to chat with your data!
I'm so excited about the potential of DataLang, I appreciate your feedback 😁!
@alexandromtzg Hi, we create Web Operating System with own app store, where users get software from. Your app is amazing and we want to enable you to share it to our users 🙂 Can we talk?
@rick_fan Not yet. I'm going to start implementing all data source types I can think of in the following weeks. I'm 80% in with the sitemap crawler, 50% in Google Sheets, and NoSQL (and GraphQL queries) seems the best to do next.
@rick_fan As for the security measures, here's what I did:
- I encrypt/decrypt only when needed
- I don't log/store sensitive data (error details, connection type, connection string, SQL...)
- I tried to mitigate risk by creating a middleman custom server (i.e. I created datalang-db-to-api in GitHub)
And as DBA, you should only use database users with permissions to specific tables (preferably pre-made views). I'm happy to hear your suggestions!
Oh! And I forgot to mention that self-host is on my radar, similar to what TypingMind did.
Looks cool! Chatting with your database looks much cooler to me than "chatting with your website." In many companies, there are non-tech employees who need access to a database. Good luck! 😃
SaasRock
Sider: AI Research Agent & Extension
SaasRock
SaasRock
Sider: AI Research Agent & Extension
SaasRock