AI-powered Search Solution for a Healthcare Company

We used AI-powered technology to make searching for information much simpler and faster. Our experts integrated OpenAI’s GPT model to act as a translator for the search engine. This allows users to type in simple, everyday questions instead of complex technical code, and the system automatically converts those questions into optimized SQL queries. This was achieved by leveraging LangChain and LangGraph for multi-step reasoning and a deeper contextual understanding.

Our team deployed advanced AI models that use a powerful neural network architecture—a transformer—to create vector embeddings from both text and image data. These embeddings were then stored and efficiently retrieved using a vector database, enabling accurate similarity searches.

NIX experts enabled AI-powered search capabilities across diverse data types, including structured SQL databases, unstructured text, and images. A robust pipeline was developed to extract text from images using optical character recognition (OCR) for effective similarity-based retrieval.

To meet the client’s high scalability demands, we implemented our solution on Azure Fabric and Azure Machine Learning (AML). We also leveraged Kusto Query Language (KQL) for fast analytics and indexing of large-scale datasets, ensuring optimal component performance.

By integrating a centralized orchestrator, we enabled management and oversight of all AI-driven workflows, while implementing a hierarchical structure that allows specialized agents to handle specific tasks, such as generating optimized and dynamic SQL queries and processing image data.

To improve search efficiency and relevance, we implemented a model context protocol (MCP), which integrates multiple data sources and enables real-time synchronization through a centralized context management layer. This ensures that searches are always performed on the most current and comprehensive data available.

We designed the solution to meet the healthcare industry’s stringent standards and requirements. By implementing role-based access control (RBAC), robust encryption protocols, and other regulatory compliance measures, we guaranteed the platform’s security and integrity. This proactive approach allows the client to scale operations with confidence, knowing their sensitive data is fully protected.