This solution brief explains how Denodo integrates with Amazon Bedrock LLMs using a retrieval-augmented generation (RAG) framework. Denodo’s logical data fabric provides governed, trusted enterprise data to LLMs in real time without extensive ETL processes. By leveraging a unified semantic layer and Amazon OpenSearch as a vector database, organizations improve AI accuracy, reduce hallucinations, and ensure secure data access. Use cases include predictive analytics, compliance monitoring, AI chatbots, and developer productivity enhancements. The architecture accelerates enterprise GenAI adoption while maintaining privacy, governance, and cost efficiency.

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