Insurance — Hybrid Indexing for Enhanced Document Retrieval

Overview

The purpose of this DAG is to create a hybrid index for insurance documents that combines traditional indexing techniques with vector-based methods to facilitate improved semantic search. The data sources include internal databases containing policy documents, claims records, and content stored in document management systems. The ingestion pipeline begins with data extraction from these sources, followed by data cleansing and transformation to ensure uniformity and accuracy. The processing steps

The purpose of this DAG is to create a hybrid index for insurance documents that combines traditional indexing techniques with vector-based methods to facilitate improved semantic search. The data sources include internal databases containing policy documents, claims records, and content stored in document management systems. The ingestion pipeline begins with data extraction from these sources, followed by data cleansing and transformation to ensure uniformity and accuracy. The processing steps involve applying traditional indexing methods to structure the data, followed by vectorization to capture semantic relationships within the documents. Quality controls are implemented to monitor the accuracy of the indexing process, and performance metrics such as retrieval speed and relevance scores are tracked to evaluate the effectiveness of the index. In the event of errors, a recovery mechanism is activated to ensure data integrity and continuity. The outputs of this DAG include a comprehensive hybrid index, performance reports, and enhanced search capabilities for end-users. By improving the efficiency and relevance of document retrieval, this solution delivers significant business value by accelerating claims processing and improving customer service.

Part of the Literature Review solution for the Insurance industry.

Use cases

• Reduces time spent on document retrieval
• Improves accuracy of search results
• Enhances customer satisfaction through faster service
• Facilitates better data-driven decision-making
• Increases operational efficiency in claims processing