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  "documentTitle": "enhaced data extraction using gen ai ey collaboration with wlastic",
  "authorId": "MorganStanley",
  "authorName": "EY",
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      "text": "Due to the distributed systems approach and overall design, EY's solution showed superior performance alongside Elastic's technology stack.",
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      "text": "The pipeline of these retrieval systems is a comprehensive collection of tools that enhance the core functionalities. It combines language embedding models and source groundings, data transformation and storage (including vectors), and data search and retrieval, all within a single ecosystem. It also encompasses tools for data security and provides integration capabilities with other software, including various data sources and LLMs. This integration is particularly valuable in addressing the financial services industry's very nuanced challenges.",
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      "text": "Throughout the pipeline, the technology was developed by EY's gen AI professionals and the technology was enabled by Elasticsearch¹. For comparison, we'll compare the efficiency, cost, and speed between EY's approach and a naïve retrieval pipeline. Due to the distributed systems approach and overall design, EY's solution showed superior performance alongside Elastic's technology stack.",
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      "text": "The process of data search, storage, and analysis is being revolutionized using advanced retrieval systems enabled by gen AI. These systems, characterized by their scalability and high- levels of performance, excel in real-time processing of various data types, including structured, unstructured text, numerical, and geospatial information. The use of sophisticated domain specific queries in these systems enable intricate and detailed searches, unlocking profound insights from extensive datasets. These strategies are integral for a wide array of applications including log and event data analysis, full-text searches, security intelligence, business analytics, and operational intelligence.",
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      "text": "¹ Elasticsearch is an open- source distributed, RESTful search and analytics engine, scalable data store, and vector database capable of addressing a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data for lightning-fast search, fine-tuned relevancy, and powerful analytics that scale with ease.",
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