Communicate with your data using natural language

In today’s data-driven business environment, organizations deal with loads of data stored, handled, and processed in complex databases. However, accessing this valuable data typically requires technical expertise in writing SQL queries.
So, we created an intuitive NLP-to-SQL system that simplifies database interaction.

MAIN CHALLENGES:

• Accessing and interpreting large volumes of complex data
• Need for real-time data analysis and insights
• Limited user expertise in data querying tools
• Requirement for a user-friendly tool for non-technical staff

WHAT WE DID:

• Created an intuitive NLP-to-SQL system to enable conversational data queries
• Integrated vector embeddings for database schema representation and optimized PostgreSQL for efficient vector similarity search
• Optimized the AI model to understand domain-specific language for better query accuracy
• Implemented the AI tool with internal data systems, allowing seamless access to insights
• Provided an easy access to data and analytics for non-tech-savvy users

RESULTS:

• Improved Data Accessibility: Enabled real-time, conversational data interaction
• Enhanced Efficiency: Data retrieval time has been reduced by 40% and 90% resource savings in insights access
• High Adoption Rate: 70% of non-technical staff regularly use the NLP solution for data analysis
• Cost Efficiency: Lowered data analysis costs by 30% through automation

Visit the GreenM website to learn more →