Insurance — Hybrid Index Implementation for Enhanced Insurance Document Search

Overview

The primary purpose of this DAG is to create a hybrid index that significantly improves the search capabilities for insurance documents. By integrating both BM25 and vector-based methodologies, the system enhances the relevance and accuracy of search results. The data sources for this DAG include insurance documents stored in file systems and relational databases, ensuring a comprehensive ingestion of relevant information. The ingestion pipeline begins with the extraction of text from these docu

The primary purpose of this DAG is to create a hybrid index that significantly improves the search capabilities for insurance documents. By integrating both BM25 and vector-based methodologies, the system enhances the relevance and accuracy of search results. The data sources for this DAG include insurance documents stored in file systems and relational databases, ensuring a comprehensive ingestion of relevant information. The ingestion pipeline begins with the extraction of text from these documents, followed by the creation of the hybrid index that combines traditional keyword search with advanced vector representations. Regular updates to the index are performed to maintain its relevance and accuracy, ensuring that users have access to the most current information. Quality control measures are implemented throughout the process to verify data consistency and integrity, which is crucial in the insurance sector where accuracy is paramount. Key performance indicators (KPIs) monitored include query response times and user satisfaction levels, providing insights into the system's performance and areas for improvement. In the event of any failures, the DAG is designed to restart automatically, triggering alerts to notify administrators of the issue. This robust architecture not only streamlines document retrieval but also enhances the overall user experience, thereby delivering significant business value by improving operational efficiency and customer satisfaction.

Part of the Data & Model Catalog solution for the Insurance industry.

Use cases

• Enhanced document retrieval speeds for insurance professionals
• Improved accuracy in search results leading to better decision-making
• Increased user satisfaction through responsive search capabilities
• Operational efficiency gains from automated processes
• Robust data integrity ensuring compliance and reliability