Telecom — Hybrid Document Indexing for Semantic Search

Overview

The purpose of this DAG is to manage hybrid indexing of documents, combining traditional indexing techniques with modern vector-based methods to facilitate efficient semantic search within the telecom industry. The data sources for this process include various connectors, such as Customer Relationship Management (CRM) systems and Enterprise Resource Planning (ERP) systems, which provide a diverse array of documents for indexing. The ingestion pipeline begins with the detection of new documents a

The purpose of this DAG is to manage hybrid indexing of documents, combining traditional indexing techniques with modern vector-based methods to facilitate efficient semantic search within the telecom industry. The data sources for this process include various connectors, such as Customer Relationship Management (CRM) systems and Enterprise Resource Planning (ERP) systems, which provide a diverse array of documents for indexing. The ingestion pipeline begins with the detection of new documents added to the system, triggering the indexing process. Key processing steps include the creation of indexes, the application of synonyms to enhance search relevance, and the evaluation of document relevance based on user queries. Quality controls are implemented to ensure compliance with access permissions, safeguarding sensitive information while maintaining data integrity. The final outputs of this DAG are made accessible through a semantic search engine, allowing users to efficiently retrieve relevant documents. Monitoring key performance indicators (KPIs) such as query response time and user satisfaction rates enables continual assessment of the system's effectiveness. The business value of this DAG lies in its ability to improve document retrieval accuracy, enhance user experience, and streamline access to critical information, ultimately driving operational efficiency within the telecom sector.

Part of the Literature Review solution for the Telecom industry.

Use cases

• Enhances document retrieval accuracy for telecom professionals.
• Improves user satisfaction through faster search responses.
• Streamlines access to critical telecom documents.
• Facilitates better decision-making with relevant information.
• Increases operational efficiency in document management processes.