Defense & Aerospace — Hybrid Indexing for Enhanced Document Retrieval

Overview

The purpose of this DAG is to construct a hybrid index that enhances document search efficiency within the Defense & Aerospace sector. By integrating traditional indexing techniques with advanced vector-based methods, the system ensures that users can retrieve relevant documents quickly and accurately. The data sources include various document repositories, such as technical manuals, operational reports, and compliance documents. The ingestion pipeline processes these documents in real-time, ens

The purpose of this DAG is to construct a hybrid index that enhances document search efficiency within the Defense & Aerospace sector. By integrating traditional indexing techniques with advanced vector-based methods, the system ensures that users can retrieve relevant documents quickly and accurately. The data sources include various document repositories, such as technical manuals, operational reports, and compliance documents. The ingestion pipeline processes these documents in real-time, ensuring immediate availability for search queries. The processing steps involve initial data ingestion, traditional indexing, vectorization of documents, quality control checks, and the creation of the hybrid index. Quality controls are critical; they validate the accuracy of search results and, in the event of discrepancies, trigger a reindexing process to rectify errors. Outputs from this DAG include an up-to-date hybrid index, search result metrics, and error logs for monitoring purposes. Key performance indicators (KPIs) include search accuracy rates, average retrieval times, and user satisfaction scores. The business value lies in significantly reducing the time spent searching for critical information, thereby enhancing decision-making processes and operational efficiency in the defense and aerospace domains.

Part of the Data & Model Catalog solution for the Defense & Aerospace industry.

Use cases

• Accelerates access to critical documents for decision-making
• Enhances operational efficiency through optimized searches
• Improves accuracy of search results, reducing errors
• Facilitates compliance with stringent industry regulations
• Enables better knowledge management across teams