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In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable dataarchitecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle realtimedata of huge volumes.
Introduction In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable dataarchitecture to handle their data needs. This provides the user with the latest results as soon as the data is available.
Real-world use cases of RAG Like traditional LLMs , RAG systems can benefit various industries, including healthcare, finance, customer support, and e-commerce. Here are some real-world applications of RAG across different sectors: 1. RAG is still developing.
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