Datasight - ChatGPT for generating SQL queries

Customer Challenge:

One of the significant challenge for DataSights was bridging the gap between their non-technical users and complex SQL databases.

Non-technical personnel, such as business analysts or managers, often require data from databases to make informed decisions, but writing SQL queries in a traditional manner can be intimidating and time-consuming.​

The Solution:

To address this challenge, Harrier implemented an innovative solution - the integration of ChatGPT for generating SQL queries from natural language prompts.

This AI-driven system allows non-technical users to interact with databases using everyday language. Here's how it works:

Natural Language Input: Users input their data retrieval requests in plain English.

ChatGPT Processing: ChatGPT, a powerful Large language model by OpenAI, processes the input and generates the corresponding SQL query.

Database Interaction:The generated SQL query is then executed on the database, retrieving the requested data.

Output in User-Friendly Format:The results are presented to the user in a user-friendly and easily comprehensible format, making data analysis accessible to non-technical users.

Results:

Harrier's implementation of ChatGPT for generating SQL queries has yielded impressive results and transformed the way clients interact with their data:​

Enhanced Accessibility​

Improved Efficiency​

Reduced Error Rates

Greater Data Utilization

Increased Productivity

Technology Stack:

ChatGPT​

API​