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This project demonstrates deploying a secure, scalable Generative AI (GenAI) solution on Azure using a Retrieval-Augmented Generation (RAG) architecture and Azure best practices. Leveraging Azure OpenAI and Python FastAPI framework, it ensures efficient data retrieval, security, and an intuitive user experience.
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Deploying secure and scalable Generative AI (GenAI) solutions on Azure using a Retrieval-Augmented Generation (RAG) architecture, leveraging Azure best practices, and integrating CI/CD pipelines with GitHub Actions and Docker for efficient development, deployment, and maintenance.
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