Banking — Semantic Search for Financial Documents with Access Management

Overview

The purpose of this DAG is to facilitate semantic searches on financial documents by integrating various data sources, ensuring that sensitive information is protected through role-based access controls. The architecture consists of multiple nodes that handle data ingestion, processing, and output generation. The data sources include financial reports, transaction logs, and regulatory documents. The ingestion pipeline employs hybrid indexing techniques to optimize searchability and relevance. Pr

The purpose of this DAG is to facilitate semantic searches on financial documents by integrating various data sources, ensuring that sensitive information is protected through role-based access controls. The architecture consists of multiple nodes that handle data ingestion, processing, and output generation. The data sources include financial reports, transaction logs, and regulatory documents. The ingestion pipeline employs hybrid indexing techniques to optimize searchability and relevance. Processing steps involve parsing documents, applying natural language processing algorithms, and enforcing access controls based on user roles. Quality controls are implemented to ensure data integrity and relevance, with metrics such as precision and recall used to measure search effectiveness. Outputs include a searchable index of documents, relevance scores for search queries, and alert notifications for system failures. Monitoring key performance indicators (KPIs) helps maintain system reliability and user satisfaction. The business value lies in improved decision-making capabilities for banking professionals, enhanced data security, and streamlined access to critical financial information.

Part of the Literature Review solution for the Banking industry.

Use cases

• Enhanced data security through strict access controls
• Improved search accuracy and relevance for financial documents
• Faster decision-making with instant access to critical information
• Streamlined compliance with regulatory requirements
• Increased operational efficiency in document retrieval