Life Science — Hybrid Indexing for Semantic Research in Regulatory Documents

Overview

The purpose of this DAG is to create a hybrid index that combines traditional BM25 ranking with vector-based embeddings to facilitate advanced semantic searches within regulatory documents. The data is sourced from various document management systems, ensuring a comprehensive collection of relevant literature. The ingestion pipeline begins with data normalization, which standardizes the input formats and cleanses the data for consistency. Following normalization, the documents are indexed using

The purpose of this DAG is to create a hybrid index that combines traditional BM25 ranking with vector-based embeddings to facilitate advanced semantic searches within regulatory documents. The data is sourced from various document management systems, ensuring a comprehensive collection of relevant literature. The ingestion pipeline begins with data normalization, which standardizes the input formats and cleanses the data for consistency. Following normalization, the documents are indexed using both BM25 and vector representations, allowing for a more nuanced understanding of document relevance. The relevance of indexed documents is then evaluated through a series of performance metrics, including precision, recall, and F1 score, to ensure the quality and effectiveness of the index. In the event of any failures during processing, the system is designed to automatically restart the indexing process with appropriate alerts generated for monitoring. The outputs of this DAG include a searchable index of regulatory documents, performance reports, and alerts for any issues encountered during processing. Key performance indicators (KPIs) are monitored continuously to assess the efficiency and accuracy of the indexing process. This hybrid indexing solution provides significant business value by enhancing the speed and accuracy of information retrieval, ultimately supporting regulatory compliance and informed decision-making in the life sciences sector.

Part of the Literature Review solution for the Life Science industry.

Use cases

• Improves retrieval accuracy for critical regulatory documents
• Reduces time spent on literature reviews and compliance checks
• Facilitates informed decision-making in life sciences
• Enhances collaboration among research teams
• Supports regulatory compliance through efficient data access