This paper introduces “Chat with Database,” the groundbreaking system conceived to make database management accessible to everyone irrespective of their technical know-how. The system integrates AI capabilities, such as the Llama2 generative model, with a very simple and intuitive interface to enable interaction with databases using natural language. Several other features standout for this system: easy creation of tables, the ability to upload bulk data, and execute queries using everyday language. This system uses the frontend development Streamlit and a backend PostgreSQL base for reliability while also being relatively user-friendly. The paper explains in detail how this system has been designed with the unique capability, how it was built, and several ways the system can be used in reality.

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Gen AI: Chat with Database System

  • M. Chilakarao,
  • Satish Chandra Cherukuri,
  • V. Mohankrishna,
  • K. Vara Prasad,
  • P. Sampath Vinay,
  • S. Anil Babu

摘要

This paper introduces “Chat with Database,” the groundbreaking system conceived to make database management accessible to everyone irrespective of their technical know-how. The system integrates AI capabilities, such as the Llama2 generative model, with a very simple and intuitive interface to enable interaction with databases using natural language. Several other features standout for this system: easy creation of tables, the ability to upload bulk data, and execute queries using everyday language. This system uses the frontend development Streamlit and a backend PostgreSQL base for reliability while also being relatively user-friendly. The paper explains in detail how this system has been designed with the unique capability, how it was built, and several ways the system can be used in reality.