From Data Pipelines to Agentic Applications: Deploying LLM Apps That Actually Work
What's New In Data
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Innovating Real-Time Data with RAG
This chapter explores the integration of real-time data and machine learning through Retrieval-Augmented Generation (RAG), featuring practical applications like UPS's enhanced package delivery. It emphasizes the significance of maintaining data freshness to improve AI accuracy and customer experiences across various sectors, while also discussing best practices and the role of data lineage.
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