Learn how to deploy a complete RAG application on Google Kubernetes Engine (GKE) and Cloud SQL for PostgreSQL and pgvector using Ray, LangChain, and Hugging Face. RAG improves the outputs of large language models by retrieving information from an external knowledge base. RAG on GKE and Cloud SQL offers benefits such as fast data loading, deployment, security, cost efficiency, reduced management overhead, and scalability.
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AI Infrastructure for RAGBenefits of RAG on GKE and Cloud SQLDeploying RAG on GKE and Cloud SQL8 Impressions