Telecom — Hybrid Index Creation for Customer Document Search

Overview

The primary purpose of this DAG is to establish a hybrid index that combines BM25 and vector-based search methodologies for customer document retrieval in the telecom sector. Triggered by updates to customer documents, this workflow ingests data from object storage systems containing the relevant documents. The ingestion pipeline begins with feature extraction, where key attributes from the documents are identified and processed. Following this, the hybrid index is created, integrating both trad

The primary purpose of this DAG is to establish a hybrid index that combines BM25 and vector-based search methodologies for customer document retrieval in the telecom sector. Triggered by updates to customer documents, this workflow ingests data from object storage systems containing the relevant documents. The ingestion pipeline begins with feature extraction, where key attributes from the documents are identified and processed. Following this, the hybrid index is created, integrating both traditional and modern search techniques to optimize query performance. Data integrity is validated through a series of checks to ensure that the index accurately reflects the underlying documents. The final index is exposed via an API, allowing for rapid and efficient search capabilities. Monitoring of the system includes key performance indicators (KPIs) such as query response time, index update frequency, and accuracy of search results. This solution provides significant business value by enhancing customer service efficiency, reducing fraud detection times, and improving overall operational effectiveness in document management.

Part of the Fraud & Anomaly Analytics solution for the Telecom industry.

Use cases

• Improved customer service response times.
• Enhanced fraud detection capabilities.
• Streamlined document management processes.
• Increased operational efficiency across teams.
• Better data-driven decision-making through accurate insights.