Use the following architecture guides to design and deploy generative AI applications with [retrieval-augmented generation (RAG)](https://developers.google.com/machine-learning/glossary#retrieval-augmented_generation) in Google Cloud. | Architecture guide | Description | |---|---| | [RAG infrastructure for generative AI using Gemini Enterprise and Agent Platform](https://docs.cloud.google.com/architecture/rag-genai-gemini-enterprise-vertexai) | An agent-driven architecture that uses Gemini Enterprise as a unified platform to orchestrate an end-to-end RAG dataflow for enterprise applications that require real-time data availability and enriched contextual search. | | [RAG infrastructure for generative AI using Agent Platform and Vector Search](https://docs.cloud.google.com/architecture/gen-ai-rag-vertex-ai-vector-search) | A fully managed, serverless architecture that provides optimized, high-performance vector search for large-scale applications. | | [RAG infrastructure for generative AI using Agent Platform and AlloyDB for PostgreSQL](https://docs.cloud.google.com/architecture/rag-capable-gen-ai-app-using-vertex-ai) | An architecture that stores vector embeddings alongside your operational data in a fully managed database like AlloyDB for PostgreSQL. | | [RAG infrastructure for generative AI using GKE and Cloud SQL](https://docs.cloud.google.com/architecture/rag-capable-gen-ai-app-using-gke) | A flexible, container-based architecture that provides maximum control to build custom applications with open source tools such as Ray, Hugging Face, and LangChain. | | [GraphRAG infrastructure for generative AI using Agent Platform and Spanner Graph](https://docs.cloud.google.com/architecture/gen-ai-graphrag-spanner) | An advanced RAG architecture that combines vector search with knowledge graph queries to retrieve interconnected, contextual data, which results in more detailed and relevant generative AI responses. | | [Harness CI/CD pipeline for RAG applications](https://docs.cloud.google.com/architecture/partners/harness-cicd-pipeline-for-rag-app) | An architecture for a continuous integration (CI) and continuous deployment (CD) pipeline for a RAG application in Google Cloud. |