DataLang
Chat with your Databases
Monthly visits:17259
Description:
DataLang is a tool that allows you to chat with your databases, expose a specific set of data (using SQL) to train GPT, and then chat with it in natural language. You can also use DataLang to automatically make your SQL views available via API, share it with your privately users, or make it public.
For Tasks:
chat with your data
get insights from your data
create ai-powered chatbots
automate your data analysis
make your data more accessible
For Jobs:
Features
- Chat with your real-time data in natural language
- Database to API
- Publish a Custom GPT
- Share it with your privately users, or make it public
- Configure your connection string and give it a name
- Add a Data View
- Use SQL to train GPT with your own data rows
- Select the data sources to train GPT with
- Create custom GPT
Advantages
- Data insights just got a whole lot easier
- You don't need any technical knowledge to use DataLang
- Your connection string credentials are securely encrypted in our system
- We are committed to the security and confidentiality of your information
- You can use DataLang to create a Sales Assistant, a Customer Service Assistant, or any other type of AI-powered chatbot
Disadvantages
- DataLang is still in early development
- There is a learning curve to using DataLang
- DataLang can be expensive for some users
Frequently Asked Questions
-
Q:Do I need any technical knowledge to use DataLang?
A:You need to know your connection string, for example postgres://{USER}:{PASSWORD}@{HOST}:{PORT}/{DATABASE}, and perform SQL queries. But once you have your data views set up, you don't need any technical knowledge to use DataLang, just ask questions in natural language. -
Q:How does DataLang secure my data?
A:Your connection string credentials are securely encrypted in our system and only decrypted when necessary for data operations. We are committed to the security and confidentiality of your information. -
Q:What are some use cases for DataLang?
A:1) You could add some Sales, Customers, and Products data views to create a Sales Assistant and share it with your Sales team. 2) You could also make a variant filtering a specific Customer so they can ask questions about their own data. 3) Have a published ChatGPT with your curated movies. 4) Add your website pages and create an SEO Assistant
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