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...
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.
In the final part of my series, we leave theory behind and face production reality. While normalizing L2 Distance is mathematically possible, it's often fragile and complex in live systems.The reason? Dynamic datasets and shifting vector ranges make ...
Cosine Similarity has a clean, intuitive range from -1 to +1. But L2 Distance? It goes from 0 to infinity—so how do you actually interpret it?In Part 2 of my series on similarity metrics for RAG systems, I break down a simple, universal way to normal...
Similarity isn’t one-size-fits-all.In RAG systems, choosing between Cosine Similarity and L2 Distance affects what gets retrieved—and whether it's actually relevant.This post breaks down the difference using clear examples:Why Cosine works best for s...
I'm a creator of agents that work with SAP systems, and I feel confident saying that after successfully building my second functioning AI agent. This latest one handles operating system tasks, and in this post, I'll be writing about installing the SA...
An LLM is just a stochastic machine for predicting the next word - I have heard this statement so many times, and each time I wondered how unaware the people who say it are. It has always been clear to me that we don't fully understand how Large Lang...
Organizations face a critical challenge with disparate knowledge scattered across platforms like SharePoint, Slack, Jira, Microsoft Teams, Zoom, Microsoft 365, Portals, Dropbox, and Google Drive.Information becomes hidden, inaccessible, leading to in...
In this post, we explore all the technical details of building the SAP GUI AI Agent. We take a clear look at the architecture, examine the libraries involved, and analyze how the agent operates from within. We go through the key parts of the code and...
In this guide, we’ll dive into the integration of machine learning in SAP solutions, explore its key use cases, and discuss practical strategies for overcoming common implementation hurdles. Whether you're new to machine learning or looking to fine-t...
The end of the year is traditionally a time for retrospection. Let's take a look at what happened in 2024 and how much the world has changed over the past 12 months. I assure you, you'll be surprised, as a lot has indeed occurred. Occasionally, you'l...
Supply chain planning is like a giant jigsaw puzzle. With so many moving parts—inventory, logistics, demand forecasting, and supplier management—it’s easy to see why this process can become overwhelmingly complex. Enter Generative AI, the cutting-edg...
The end of the year is a time for reflection but also for forecasting what lies ahead. While 2024 has undoubtedly been transformative and brought monumental changes, I don’t expect the coming year to be any different. We can anticipate moments of awe...
IntroductionHave you ever stared at your analytics dashboard, wishing it could do more—like answer your questions without having to solely search, filter, and drill into your data? Well, guess what – you can do that now!In this blog, I’ll walk you th...
Discover how AI can revolutionize failure analysis in industrial maintenance! In this blog post, I showcase a Fiori application built with React and UI5 Web Components that integrates artificial intelligence to suggest actionable recommendations for ...
Unleash Open-Source Text Embeddings in SAP AI Core with InfinityThis blog post dives into using open-source Text Embedding Models within SAP AI Core. It explores the "Bring Your Own Model" (BYOM) approach, focusing on Infinity – a high-performance se...
In this blog post, we'll have an end-to-end technical deep dive into the first option of bringing open-source LLMs within SAP AI Core through Ollama.A quick glance at OllamaDeploy and Run Ollama in SAP AI CoreInference Microsoft's open-source model P...
Unleash the power of AI and augment your applications with Retrieval-Augmented Generation. Dive into the world of large language models with this simple guide on building Python RAG applications using LangChain, HANA Vector DB, and the Generative AI ...
With the SAP HANA Cloud 2024 Q1 release, several new embedded Machine Learning / AI functions have been released with the SAP HANA Cloud Predictive Analysis Library (PAL), for classification, regression, time series forecasting or financial data ana...
Retrieval-Augmented Generation (RAG) techniques significantly improve the contextual relevance of large language model (LLM) outputs by incorporating real-time database lookups. SAP HANA Cloud vector engine plays a key role here, enabling efficient r...
If you have a collection of FAQs that you want to be easily accessible for your business users, then a chatbot might be the answer. This blog explains how to create such a (non-hallucinating) chatbot on SAP's Business Technology Platform by leveragin...
In this blog post series, we will explore various options for running popular open-source Large Language Models to like LLaMa 3, Phi3, Mistral, Mixtral, LlaVA, Gemma etc., in SAP AI Core, which complements SAP Generative AI Hub with self-hostsed open...
As we stand on the brink of a technological revolution, AI is reshaping the way we interact with the digital world. I'm here to share my insights regarding this evolving landscape, offering observations into how AI, machine learning, and other relate...
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sap_sabarna
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What Do You Do While Claude Code Thinks? I Built a...
merbinjanselm
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Building AI Agents and Agentic Workflows with Huma...
DEEPA_DORAIRAJ
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SAP Agentic AI in Practice: Building the SAP Migra...
DEEPA_DORAIRAJ
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SAP Agentic AI in Practice: Concepts, Architecture...
Thakur_Avinash
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Extracting Structured Knowledge from Document (Sal...
