Manage AI infrastructure on top of GKE while leveraging open-source frameworks and open models.

Google Cloud Platform provides a suite of cloud computing services for building, deploying, and managing applications and infrastructure on Google's global network. Developers can learn about cloud-native development, machine learning, and big data analytics to leverage GCP's scalable and reliable cloud infrastructure for their projects.

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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.

RAG quickstart with Ray, LangChain, and HuggingFace