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MLOps for GenAI Applications // Harcharan Kabbay // #256

MLOps.community

NOTE

Operationalize with Testing and APIs

Operationalizing retrieval-augmented generation (RAG) necessitates a comprehensive CI/CD approach, emphasizing the importance of testing integration through various types of tests. As large language models (LLMs) gain traction, it prompts a shift in perspective, prompting developers to regard RAG frameworks as API-driven systems. This transformation encourages a microservices architecture where embeddings or vector stores are effectively utilized, whether hosted on-premises or in the cloud, ensuring robustness in deployment and performance validation.

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