Create SQL-based AI Agents from Natural Language Input

Yesterday I had an ephinany. If I can seed the LLM with my database schema during prompting, I can leverage No-Code and AI to allow users to state their intentions using natural language, and have the machine "generate" an AI agent as its result. The process is 100% automatic, based upon No-Code and AI, and doesn't require anything but the ability to state your "intentions" with natural language.

Let's break down the process:

• First I select a database
• Then I create a prompt. My prompts can be for instance;
  • I want to know the top 5 best paying customers from USA
  • I want to know the sum of invoices paid in December
  • What was our total expenses in 2024?
• The LLM transpiles my intentions into functioning SQL, already knowing the dialect and the schema, and I can test this SQL directly from within SQL Studio
• Magic Cloud generates an HTTP endpoint, using the Endpoint Generator, allowing me to parametrise it with for instance country, month, year, etc
• When it's got an endpoint, it is a single button click to turn the endpoint into an "AI function declaration"

The end result becomes that I can ask questions using natural language, which the LLM is smart enough to realise implies executing a function, resulting in the LLM becoming capable of executing any SQL, to extract any data from your SQL database - Without you having to manually add any "code" to the system at all. Basically ...

No-Code AI Agent is created with No-Code, AI, and natural language, wrapping ANY SQL-based database, extracing ANY data you wish!

Have a Custom AI Solution

At AINIRO we specialise in delivering custom AI solutions and AI chatbots with AI agent features. If you want to talk to us about how we can help you implement your next custom AI solution, you can reach out to us below.

• Contact AINIRO