Natural Language Query (NLQ)
Easily query structured data using natural language
What is NLQ?
NLQ is a technology that allows users to query databases and information systems using natural language, without requiring specific programming skills.
This enables users to access both structured and unstructured data intuitively and instantly, improving and accelerating decision-making processes.
How does it work?
NLQ systems intelligently interpret user input, whether written queries or voice commands, and provide:
- Natural language responses
- Business Intelligence visualizations (e.g., charts, tables, and other visual representations of data)
Paradigms
NLQ systems leverage two distinct design paradigms, each suited to specific operational scenarios.
Natural Language Query
Natural language queries, whether textual or vocal, are automatically converted into a format the system can process
Trusted Natural Language Query
An advanced version of NLQ that uses ontologies to add a semantic representation, separating the generation of natural language queries from the technical processes of data querying
Application examples
Virtual assistants
Integrating NLQ into a virtual assistant enables intuitive interaction with business data, allowing users to ask questions in natural language to obtain answers to complex queries, real-time analyses, and practical insights.
Data analysis team
TNLQ (Trusted Natural Language Query) is a technology within the NLQ family that enables data scientists and business analysts to query data in real time using natural language. This eliminates the need to write complex code, allowing teams to focus on more strategic activities.
Benefits
Accessibility
Enables non-technical users to access and work with data
Productivity
Facilitates natural conversations with assistants, enhancing engagement and efficiency
Speed
Provides instant access to data, accelerating decision-making processes
Efficiency
Automates queries and data retrieval, freeing up time for more complex tasks
Democratization
Makes insights accessible to everyone, fostering a data-driven culture
Security
Enhances query interpretation, ensuring better data management security
Our approach
The AIWave NLQ architecture is designed to be easily scalable and configurable across various types of hardware, cloud environments, or on-premises configurations.
Thanks to its integration with the proprietary AI Orchestrator—a system that optimizes and coordinates AI models and processes by integrating them with available resources—NLQ is designed to adapt to different performance and privacy requirements.
AIWave Trusted-NLQ uses a semantic layer to simplify data management during AI model training, ensuring its effectiveness even when schema is updated. Furthermore, for enhanced security, a semantic engine translates natural language commands into a secure pseudo-language, ensuring controlled and protected data access.
