Which programming languages does this skill support?

It provides full support and patterns for both JavaScript/TypeScript (Node.js 20+) and Java (Java 17+) application development.

Do I need an SAP BTP account to use this skill effectively?

Yes, you need an active SAP AI Core service instance and an orchestration deployment on SAP BTP to run the AI features described in this skill.

Does this skill support Retrieval-Augmented Generation (RAG)?

Yes, it includes specific patterns for document grounding and integration with vector repositories to support RAG workflows.

Can I use models other than GPT-4o with this skill?

Absolutely. The skill covers various foundation models available via SAP AI Core, including Anthropic Claude, Google Gemini, Amazon Nova, and Mistral.

How does this skill handle security and PII?

It includes guidance on using SAP's orchestration service for data masking (PII/PHI) and content filtering to ensure enterprise-level safety and compliance.

SAP Cloud SDK for AI

Name: SAP Cloud SDK for AI
Author: secondsky

bysecondsky

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Data Science & ML

Integrates enterprise-grade AI capabilities into SAP BTP applications using the SAP Cloud SDK for AI for JavaScript/TypeScript and Java.

About

This skill empowers developers to build production-ready AI applications on the SAP Business Technology Platform (BTP) by leveraging the SAP Cloud SDK for AI. It provides comprehensive guidance for implementing chat completions, embeddings, and complex orchestration services across multiple foundation models like GPT-4o, Claude, and Gemini. With built-in support for data masking, content filtering, and document grounding, it ensures enterprise-level security and compliance while streamlining the development of agentic workflows and RAG-based systems in both JavaScript and Java environments.

Key Features

Seamless integration with SAP AI Core and Generative AI Hub orchestration
Multi-model support for OpenAI, Anthropic Claude, Google Gemini, and Amazon Nova
Enterprise safety features including data masking and content filtering
Simplified RAG implementation via document grounding and vector APIs
Framework support for LangChain and Spring AI integration
2 GitHub stars

Use Cases

Creating agentic workflows that leverage tool calling for business process automation
Building secure, AI-powered chatbots within SAP BTP enterprise environments
Implementing Retrieval-Augmented Generation (RAG) using SAP vector databases

About

Key Features

Seamless integration with SAP AI Core and Generative AI Hub orchestration
Multi-model support for OpenAI, Anthropic Claude, Google Gemini, and Amazon Nova
Enterprise safety features including data masking and content filtering
Simplified RAG implementation via document grounding and vector APIs
Framework support for LangChain and Spring AI integration
2 GitHub stars

Use Cases

Creating agentic workflows that leverage tool calling for business process automation
Building secure, AI-powered chatbots within SAP BTP enterprise environments
Implementing Retrieval-Augmented Generation (RAG) using SAP vector databases