In this article, I share how I built an intelligent inventory assistant using SAP BTP, SAP CAP (Node.js), Generative AI, RAG, and vector database technologies.
The project transforms a simple stock management service into a smart assistant that can answer natural-language inventory questions, find the most relevant product using embeddings, and provide grounded responses based only on real enterprise data — preventing hallucination.
Throughout this journey, I combined SAP CAP services with Google Gemini API, generated embeddings from product data, and used SQLite-vec as a vector database to enable similarity search and retrieval-augmented generation (RAG).
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​ In this article, I share how I built an intelligent inventory assistant using SAP BTP, SAP CAP (Node.js), Generative AI, RAG, and vector database technologies.The project transforms a simple stock management service into a smart assistant that can answer natural-language inventory questions, find the most relevant product using embeddings, and provide grounded responses based only on real enterprise data — preventing hallucination.Throughout this journey, I combined SAP CAP services with Google Gemini API, generated embeddings from product data, and used SQLite-vec as a vector database to enable similarity search and retrieval-augmented generation (RAG).    Read More Technology Blog Posts by Members articlesÂ
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