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Addressed peer review comment
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modules/deploying-a-llamastackdistribution-instance.adoc

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= Deploying a LlamaStackDistribution instance
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[role='_abstract']
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You can integrate LlamaStack and its retrieval-augmented generation (RAG) capabilities with your deployed Llama 3.2 model served by vLLM. This integration enables you to build intelligent applications that combine large language models (LLMs) with real-time data retrieval, providing more accurate and contextually relevant responses for your AI workloads. When you create a `LlamaStackDistribution` custom resource (CR), specify `rh-dev` in the `spec.server.distribution.name` field.
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You can integrate LlamaStack and its retrieval-augmented generation (RAG) capabilities with your deployed Llama 3.2 model served by vLLM. You can use this integration to build intelligent applications that combine large language models (LLMs) with real-time data retrieval, providing more accurate and contextually relevant responses for your AI workloads. When you create a `LlamaStackDistribution` custom resource (CR), specify `rh-dev` in the `spec.server.distribution.name` field.
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ifdef::self-managed[]
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ifdef::disconnected[]

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