21 docs tagged with "Generative AI"

The Agent2Agent (A2A) protocol facilitates communication between independent AI agents. SAP contributes to the A2A specification via Joule and Open Resource Discovery (ORD).

Agents for Structured Data leverage advanced AI capabilities to transform how organizations interact with and derive insights from large quantities of tabular and other structured data. By integrating natural language processing, federated data access, and real-time analytics, these applications enable seamless decision-making and operational efficiency across diverse industries.

This is an overview of AI agents and their role in enterprise automation, focusing on SAP's Project Agent Builder (PAB) and its support for content-based and code-based agent development. It explores the technical components, design strategies, and evaluation criteria for deploying AI agents effectively within the SAP ecosystem.

Authentication Strategies

This reference architecture describes the authentication flows for SAP SaaS via the SAP Cloud Identity Services - Identity Authentication.

This reference architecture describes how the different authorization technologies within the SAP SaaS portfolio can be used from a central point for the Identity Lifecycle.

Enhance SAP BTP applications using Generative AI by integrating custom prompts for Foundation Models or LLMs. This allows natural language processing to craft AI responses tailored to specific tasks, enabling intelligent user interactions and achieving application objectives.

Benefits of Multitenant Applications

Cost of Ownership

Understand key challenges, key design patterns and key considerations from platform, technical services,when building event-driven architecture based applications.

Semantic search using embeddings converts data into dense numeric vectors to capture meanings. Stored in vector databases, these vectors enable efficient similarity searches with cosine similarity, improving search relevance and user experience by focusing on meaning over exact keywords.

Harness Generative AI on SAP BTP using a CAP-based backend with SAP HANA Cloud's Vector Engine for similarity search. The Generative AI Hub allows seamless integration of LLMs, supporting RAG and other advanced patterns. Compatible with Cloud Foundry and Kyma, it optimizes AI-driven app development.

This reference architecture describes the identity lifecycle flows for SAP SaaS via the SAP Cloud Identity Services.

Understanding Event-Driven Architecture, Core Concepts and Building Blocks.

Multitenant SaaS applications built on SAP BTP offer a powerful way to extend SAP's core solutions and address specific industry or business needs at scale. By allowing multiple customers to share a single instance of the software, multitenancy lowers costs and makes maintenance simple for all users. This approach not only drives innovation and scalability but also enables faster time-to-market and more efficient resource utilization.

Reference Architecture

Guidance for developing applications based on Event-Driven Architecture (EDA) patterns and Cloud Application Programming (CAP) framework.

Enhance LLM control with Retrieval Augmented Generation (RAG), which integrates external data to reduce hallucinations and improve accuracy across multiple domains without the need for fine-tuning. This approach combines factual data with language knowledge for increased precision.

This reference architecture describes the authentication, identity lifecycle flows and how to assign and design roles (authorizations) for the SAP SaaS via the SAP Cloud Identity Services.

Tenant Lifecycle Management

Tenant Model on SAP BTP