InsightsWave Technologies implemented a cutting-edge RAG-based solution that transformed natural language queries into optimized SQL, dramatically improving data accessibility and analysis efficiency at every level in the company.
Our client is a pharmaceutical corporation handling massive amounts of data across multiple cloud platforms, processing over 100 petabytes of data monthly across various business units.
Detailed information about the client cannot be disclosed under the provisions of the NDA.
The Challenge
Massive data volumes and complex querying needs created significant operational bottlenecks. The client faced mounting challenges in managing their expanding data infrastructure. Their teams struggled with:
The company needed a solution that could democratize data access while maintaining performance and cost-effectiveness across their massive data infrastructure.
The Solution
AI-powered Natural Language to SQL platform with advanced RAG framework
InsightsWave Technologies developed a comprehensive solution leveraging the latest in AI and data engineering. Our approach centered on a Retrieval-Augmented Generation (RAG) framework that transformed natural language queries into optimized SQL, while ensuring robust governance and scalability.
The Results
85% reduction in query processing time with 60% cost savings
The implementation delivered transformative results across multiple dimensions:
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