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Enterprise Retrieval-Augmented Generation (RAG) architecture integrates large language models with enterprise data sources to enhance response accuracy and context-awareness. It involves multiple layers including data ingestion, embedding, retrieval, and LLM orchestration, ensuring secure handling of proprietary data. This architecture supports scalable AI applications, enabling organizations to create intelligent systems that deliver accurate insights.

Author

Aashlesh1234

Language

EN