Use these reference architectures as a guide to drive efficiency by automating tasks and unlocking new possibilities, such as building AI-powered applications with Vertex AI, using advanced analytics with BigQuery, and implementing streamlined workflows through integration with Pub/Sub, Cloud Storage and many more Google Cloud services.
Explore the ABAP SDK for Google Cloud with the help of the reference architectures and discover how the SDK can bring innovation to your SAP application landscape.
Design guides
Build architectures by using recommended patterns and practices.
- Business insights in SAP with BigQuery ML
Use BigQuery ML to gain data-driven insights from your SAP environment and accelerate business decisions.
- Data protection in SAP with the DLP API
Use the DLP API to protect sensitive enterprise data in SAP.
- Gemini-powered business rule engine for SAP
Build a business rule engine powered by Large Language Models (LLMs) such as Gemini.
- Vertex AI Vector Search for intelligent SAP applications
Develop intelligent SAP applications with semantic search capabilities by using the Vertex AI Vector Search.
- Data ingestion subsystem for RAG-capable generative AI applications
Design a data ingestion subsystem in SAP to use with RAG-capable generative AI applications.
- Serving subsystem for RAG-capable generative AI applications
Design a serving subsystem in SAP to use with RAG-capable generative AI applications.
- Send SAP notifications to Google Chat
Build Chat apps to send SAP information and updates directly in Google Workspace.
- Interact with SAP workflows from Google Chat
Build interactive Chat apps to take actions on SAP workflows such as approve or reject requests directly from Google Workspace.
What's next
- Learn about ABAP SDK for Google Cloud.
- Review and adopt fundamental guidance to start architecting your enterprise deployments on Google Cloud.
- Ask your questions and discuss the ABAP SDK for Google Cloud with the community on Cloud Forums.