Retail — Hybrid Indexing for Information Retrieval

Overview

The Hybrid Indexing for Information Retrieval DAG is designed to optimize the search functionality within the KMDS portal by creating a hybrid index that combines traditional indexing methods with vector-based approaches. The primary purpose of this DAG is to facilitate efficient and accurate information retrieval for retail users, enhancing their ability to access critical data quickly. The data sources include ERP transaction logs, customer interaction records, and product catalog information,

The Hybrid Indexing for Information Retrieval DAG is designed to optimize the search functionality within the KMDS portal by creating a hybrid index that combines traditional indexing methods with vector-based approaches. The primary purpose of this DAG is to facilitate efficient and accurate information retrieval for retail users, enhancing their ability to access critical data quickly. The data sources include ERP transaction logs, customer interaction records, and product catalog information, ensuring a comprehensive dataset for indexing. The ingestion pipeline begins with data extraction from these diverse sources, followed by normalization and cleaning processes that standardize the data format and eliminate inconsistencies. Security measures are integrated throughout the workflow, including access controls to safeguard sensitive information. The processing logic involves the application of both traditional indexing techniques and modern vectorization methods to create a robust hybrid index. The outputs of this DAG include a searchable index file, performance metrics, and a user-friendly dashboard that displays search results. Monitoring is achieved through specific KPIs such as search response time, accuracy of search results, and user engagement levels. These metrics are crucial for assessing the effectiveness of the indexing process and ensuring a seamless user experience. Ultimately, this DAG delivers significant business value by improving information accessibility, enhancing customer satisfaction, and driving operational efficiency within the retail sector.

Part of the Data & Model Catalog solution for the Retail industry.

Use cases

• Enhances search efficiency, reducing time to information
• Improves user satisfaction through accurate search results
• Increases operational efficiency by streamlining data access
• Facilitates better decision-making with comprehensive data insights
• Strengthens data security with robust access controls