Natural language query

Ask questions in plain English and get instant answers from your data

Published: 2025-12-20 By: Predictiv

Ask questions in plain English and get instant answers from your data. This guide covers natural language to sql conversion, database schema understanding, query validation and security, and more.

Natural language to SQL conversion

Natural language to SQL conversion is a core capability within Predictiv, designed to streamline operations and improve visibility. The implementation follows best practices while remaining configurable to meet your organization's specific needs.

Database schema understanding

xml Process logic

Tier 3: Manual Only (Roadmap)

CapabilityPhasePriority Callout Development2HIGH Process Development2HIGH Event Handlers2HIGH Database Views3MEDIUM Stored Procedures3MEDIUM Workflow Definition4HIGH JUnit Tests5MEDIUM JasperReports6LOW REST Services6LOW

Coverage Metrics

AD Metadata:      ████████████████████░░░░  70%

Business Logic: ░░░░░░░░░░░░░░░░░░░░░░░░ 0%

Database Objects: ░░░░░░░░░░░░░░░░░░░░░░░░ 0%

Testing: ░░░░░░░░░░░░░░░░░░░░░░░░ 0%

─────────────────────────────────────────────

OVERALL: █████░░░░░░░░░░░░░░░░░░░ 25%

.

Query validation and security

xml List values content

Validation RulesAD_VAL_RULE. xmlValidation logic Callouts AD_CALLOUT.

Supported query types

Supported query types is a core capability within Predictiv, designed to streamline operations and improve visibility. The implementation follows best practices while remaining configurable to meet your organization's specific needs.

Best practices for query formulation

Best practices for query formulation is a core capability within Predictiv, designed to streamline operations and improve visibility. The implementation follows best practices while remaining configurable to meet your organization's specific needs.

Getting Started

To implement natural language query in your Predictiv environment:

1. Assess your current state - Review existing processes and identify improvement opportunities

2. Configure the module - Work with your implementation team to set up the required components

3. Train your team - Ensure users understand the new capabilities and workflows

4. Monitor and optimize - Track key metrics and continuously improve

Related Resources

For more information on related topics, explore our other guides in this collection.

Need Help?

Our team of experts is available to help you get the most out of Predictiv. Contact us to discuss your specific requirements and how we can help you achieve your goals.

Need Help Implementing This?

Our team can help you put these best practices into action.