End-to-end RAG pipeline on SAP data — REAL_VECTOR schema setup, SAP embedding model via AI Core, document chunking, COSINE_SIMILARITY search, and four working use cases: knowledge base search, data dictionary retrieval, transport log search, and mast...
In November 2025, I started using Claude Code differently. Instead of just throwing prompts at it and hoping for the best, I began building skills — little workflow playbooks written in markdown that tell the AI how to approach a problem, not just wh...
SAP RPT-1 · The next big thing in enterprise AIYour data is smarter than you think.RPT-1 just proved it.Six reasons this changes everything.What if your ERP could predict outcomes without a single data scientist — just by looking at a few example row...
Four multi-step prompt pipelines for real SAP workloads — exception log triage, HANA code review, document processing, and master data enrichment — using sequential chaining and chain-of-thought reasoning with the generative-ai-hub-sdk and LangChain.
Taming the Dependency Update Avalanche If you've ever managed dependency updates across multiple repositories, you know the pain. Every morning, there's a fresh batch of version bumps waiting for you. Click into GitHub, check the build status, review...
AI code generation helped the hana-cli project add more features in two months than I'd been able to deliver in the last two years; but quality still came from discipline, architecture, and a ton of testing.
Five working Python code examples for real SAP workloads — exception log summarization, HANA query analysis, ABAP/SQL code generation, master data classification, and structured data extraction — using the generative-ai-hub-sdk across SAP AI Launchpa...
Step-by-step configuration from BTP entitlements to your first foundation model API call — including the missing AI Launchpad entitlement, zero default quota, resource group API setup, OAuth authentication pattern, and regional model availability gap...
Because brain in a jar is so 2024.
Guess who else speaks MCP: Codex does.
On one rainy morning I mentioned to my Google Antigravity Agent: "I hear people are experimenting with connecting to SAP Systems via MCP. They use ABAP Development Tools API as a way in. Could you help me set up something like that for my ABAP Trial ...
Agentic memory enables AI to remember past interactions, but its real value lies in knowing precisely which information to store and when. This article defines the concept of 'agentic memory,' outlines key use cases such as personalization and agenti...
Your RAG pipeline retrieves chunks. But can it connect the dots between them? This blog walks through building a Knowledge Graph on SAP HANA Triple Store and combining it with vector search, with full working code using SAP AI Core, HANA ML, and Fast...
BM25 keyword ranking and hybrid retrieval for RAG pipelines on SAP HANA Cloud. Combine vector search with keyword matching using LangChain-compatible retrievers.
RAG (Retrieval-Augmented Generation) has quickly become the backbone of modern enterprise AI. In the SAP ecosystem—where business processes rely on massive, complex, and varied documents—RAG isn't just a buzzword. It's a critical layer of contextual ...
LangGraph checkpointer for SAP HANA Cloud — persist AI agent state where your data already lives.
IntroductionI’m an SAP functional consultant by role, but I’ve always had the soul of a developer. This is the story of how that instinct — along with a lot of late nights, AI assistance, and a fair share of dead ends — led me to build something I ne...
Hello,I have build the smallest OData MCP bridge server (in the world )!You can find the source code (publicly available) here:https://github.com/danmcool/odata_mcpsrv_xsDISCLAIMER: current authentication method used is only for test purposes, for a ...
There is a moment in every AI project when the model finally starts working.Not perfectly, but well enough that people stop asking whether it works and start asking something far more dangerous:Can we show this to customers?And more importantly, can ...
When a client opens a ticket for SAP software support into AMS services, time to resolve remain a relevant KPI. S.P.A.R.K. (SAP Process Augmented Response Knowledge) is a Retrieval‑Augmented Generation (RAG) platform built entirely on SAP technology...
In my recent Hello World with SAP’s Harmonized API, we discovered how SAP’s Orchestration Service lets us talk to models from OpenAI, Anthropic, Google, and others through a single unified interface. The killer feature: swap out a model name string, ...
SAP Joule for Consultants provides SAP-grounded, AI-driven guidance to accelerate SAP delivery, ensure clean-core alignment, and scale professional expertise efficiently.
I'll walk you through the steps to build a "Hello, World" agent. Along the way, you'll get familiar with the basic workflow in SAP Build, explore the UI, avoid at least one common pitfall, and have your agent up and running in just a few minutes. By ...
In this post, I show how to build a private, local, AI-powered ABAP development environment using VS Code, Ollama, and open-source LLMs — no BTP, no cloud, and no code leaving your machine.It’s about privacy, performance, and putting AI directly in t...
AI agents don’t fail like traditional software and that changes everything. When identical inputs can produce different decisions, traditional logs and breakpoints can no longer explain what went wrong. In the agent era, understanding why something h...
A step-by-step tutorial on calling SAP GenAI Hub's large language models from self-hosted n8n to build enterprise AI automation workflows.SAP Build is the primary, recommended solution for enterprise automation and orchestration within the SAP ecosys...
JSON is the default input format for LLM prompts, mostly out of popularity.In this experiment, I compared JSON and TOON using the same data, the same tasks, and measurable metrics: accuracy, token count, and latency.The takeaway isn’t “replace JSON,”...
Stuck behind corporate firewalls without access to the latest AI tools? I was too. In my latest post, I share how to bridge the gap using Model Context Protocol (MCP).I show you how to build and configure two powerful open-source tools—vibing-steampu...
The Harmonized API of the Orchestration Service is probably one of SAP's best kept secrets. It allows you to talk to all the language models on AI core in a harmonized format across model families. This means that you can simply swap out the model na...
I hope everyone found their way into the new year and had some peaceful time over the holidays! Being back at work, I started to try out all the cool announcements from last year. One of them is SAP contributing to the third-party open-source Python ...
SAP Joule for Developers, ABAP AI Capabilities is your intelligent coding companion, bringing deep expertise in ABAP Cloud and AI-driven development. When we talk about ABAP AI use cases, they revolve around three key pillars — Accelerate, Empower, a...
SAP’s All‑in AI Vision: A Bold and Timely MoveSAP’s All‑in AI strategy is not just ambitious—it’s absolutely the right direction. As an Enterprise Architect, I’m genuinely excited by how SAP’s AI vision is evolving from being a text generator to bec...
In traditional web development, we design for the "average" user. We build fixed dashboards, hard-coded forms, and rigid menus. We try to predict every possible path a user might take. The result? Friction:The Overload: A power user and a beginner se...
How do you test SAP's RPT-1 model beyond a simple Hello World example? Its claim to fame is that it can replace traditional machine learning models for classification and regression tasks. No model training, no hyperparameter tuning, just show it you...
MCP scales agent capabilities, but only a centralized control plane makes it enterprise-safe. This post outlines the architecture required to enforce identity, authorization, auditability, and containment across MCP-based systems.
MCP is quickly becoming the USB port for AI agents, but in the enterprise, it’s also a security nightmare waiting to happen.As teams rush from demos to production, direct MCP connections are quietly creating blind spots in attribution, access control...
As enterprise GenAI moves from proof-of-concept to production, standard Vector RAG is hitting a ceiling, often struggling with complex reasoning and the rich structure of business documents. In my latest blog post, I explore the next evolution: Hybri...
Powerful AI enabled applications need strong safeguards. Explore how content filtering in SAP AI Core orchestration helps prevent unsafe outputs and supports responsible, enterprise-ready AI applications.
Just as air traffic control ensures every flight starts with clear communication and coordination, consent in AI must begin with clarity and trust to avoid turbulence later.Consent in Artificial Intelligence (AI) isn’t just a legal checkbox—it’s the ...
SAP Joule is transforming how organizations interact with SAP applications by bringing intelligence directly into everyday workflows. For customers to activate Joule and unlock its AI-powered capabilities, they must first prepare their SAP Cloud Iden...
Learn how to build an AI powered Purchase Order listing, modification or approval app using SAP Build and Joule. This step by step guide covers everything from OData integration to creating a working Joule Skill.
t’s finally time to explore Document Grounding and train Joule to answer questions using your company’s specific policy and knowledge documents. But before diving into Joule, it’s important to first understand Retrieval Augmented Generation. Retrieva...
During TechEd, AI was a central theme across nearly all sessions — it was rare to find one where the term “AI” wasn’t mentioned. Many of these sessions focused on Joule agents, skills, and the Agent Builder, which is expected to be released by the en...
Discover how we leveraged the new SAP HANA Knowledge Graph Engine to build Summy, an AI-powered chatbot capable of answering complex questions about structured business data of our SaaS product Summarix. By combining knowledge graphs, SPARQL, agentic...
Rule-based automation can’t keep up with today’s fast-changing business workflows—but agentic AI can. Now generally available, the new agent builder in Joule Studio lets developers create context-aware Joule agents that plan, reason, and execute comp...
Introduction to SAP Build Joule SkillsIn today’s fast-changing business landscape, automation, intelligence, and integration are essential for success. SAP Build Joule Skills bring these elements together to help businesses optimize workflows, stream...
LLMs often feel like magic — but they aren’t.Behind every response lies tokenization, embeddings, attention, and probabilistic decoding. In this blog, we demystify how Large Language Models really work, explain why they’re becoming essential in 2025,...
Accelerate your Joule deployment while avoiding common pitfalls. Our expert-guided approach ensures your team develops competency in managing SAP’s AI infrastructure, maximising your return on investment.
Now that our SAP-RPT models are generally available, let's put it to the test! Follow along as we walk you through the steps to making your first successful inference with our latest SAP-RPT model.
while there are robust logging support for java and node.js, python support has been missing for asynchrionous frameworks like fastapi and has been generally for flask and other synchrounus framweokrs. as with modern enterprise architecture of applic...
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SAP-RPT-1.6, Tabular Orchestration, and RPT Playgr...
achab
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AI-Powered Forecasting with SAC, SAP RPT & Gen AI ...
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