DataLang - ai tOOler
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DataLang
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ChatGPT (136)

DataLang

Talk with your Databases.

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Starting price Free + from $19/mo

Tool Information

This tool helps you build personalized GPT assistants by seamlessly connecting them to your databases.

To get started, the first step is to set up your data source, which means linking to your database. This is the foundation for everything else you'll be doing.

Next, you’ll need to create some data views using SQL scripts. These views help structure the data in a way that your assistant can easily access and understand.

Once your data is organized, it's time to configure your GPT Assistant by selecting the sources you want to use. This custom setup enables your assistant to pull the information it needs for conversations.

After configuring, you can interact with the built-in Assistant or even take it a step further by creating your own custom GPT. This gives you the flexibility to tailor the assistant to your specific needs.

Finally, once you're happy with your assistant, you have the option to publish it on the ChatGPT store or share it privately. This way, you can chat with your data in a user-friendly manner, making information access easier and more interactive!

Pros and Cons

Pros

  • Can ask questions flexibly
  • Quick setup for data sources
  • Free demo available
  • Easy login and sign-up for users
  • Secure connection details
  • Option to name data sources
  • Works with other tools
  • GPT-3 for natural responses
  • Subscription for updates on the product
  • Blog for extra resources
  • Focused on privacy
  • Safely manages user data
  • API to access data and ask questions
  • Simple interface for users
  • Data questions in simple terms
  • Three steps to follow
  • Easy to understand data insights
  • No expert knowledge needed

Cons

  • No quick search indexing
  • No mention of multilingual support
  • Doesn't mention support for non-relational databases
  • Flexibility in questioning is unclear
  • No visualization tools provided
  • No ready-made query templates
  • Depends on GPT-3's accuracy
  • Needs data source setup
  • Doesn't support real-time questioning
  • Lacks custom reporting options

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