For Data Consumers
Empower Your Data Citizens with Enhanced Reasoning and Information-Seeking Capabilities
Harness the power of Generative AI to revolutionize how data citizens interact with structured and unstructured data. Utilize enhanced reasoning and information-seeking capabilities to address complex questions on private data, delivering precise and relevant answers.
Structured Data for Consumption
Our AI-driven framework enhances your interaction with structured data, providing sophisticated tools for effectively generating, analyzing, and visualizing data.
RAG-SQL (Retrieval-Augmented Generation for SQL)
SQL Generation
Automatically generate SQL queries and related functionality using the RAG framework. This allows for more intuitive data retrieval and manipulation.
Enhanced Functionality
Improve data querying processes and reduce manual effort with AI-powered SQL generation.
Business Metadata and Ontology
Interpreting Terminology
Leverage metadata and ontology to translate and interpret business terminology, ensuring precise and context-aware data analysis.
Enhanced Understanding
Align data queries with business-specific language for more accurate results.
Smart Chart Auto Generation
AI-Driven Visualizations
Automatically generate insightful and relevant visualizations based on query structure and results. This feature provides immediate, context-rich graphical representations of your data.
Unstructured Data for Consumption
Our AI capabilities extend to unstructured data, offering advanced tools for organizing, enriching, and understanding diverse data types.
Multi-Document Ingestion
Effecient Data Organization
Ingest multiple documents into a single index, improving data organization and retrieval processes.
Unified Access
Enhance data accessibility and management with comprehensive indexing.
Parent-Child Node Creation and Relationships
Accurate Content Generation
Create and manage Parent-Child relationships between nodes to enhance the accuracy of content generation and retrieval.
Structured Information
Improve data structure and context with hierarchical relationships.
Metadata Extraction & Enrichment
Contextual Summaries
Extract and enrich data with summaries using large language models (LLMs), providing deeper context for better retrieval.
Source File Metadata
Insert source file names into metadata for effective source recollection and traceability.
For Data Producers
Enable Data Producers to add Gen-AI Consumption on Data Products
Allow data producers to seamlessly enable generative AI consumption on their data products, enhancing their value and maximizing insights through advanced AI-driven analysis.
Key Capabilities
Setup & Configuration
Utilize the workbench’s tools to define AI integration parameters for your produced data products.
Data Product Integration
Connect your produced data products to Gen-AI models, enabling advanced analysis and enrichment.
Model Deployment
Deploy Gen-AI models directly from the workbench, selecting from pre-built options or customizing your own to fit your data’s needs.
Enable AI Consumption
Activate generative AI capabilities on your data products, allowing for enhanced insights and analytics.
Monitor & Refine
Continuously monitor AI performance and make adjustments to ensure optimal results and ongoing improvement.
