Materials on AI, Python, Git, SQL, Web/API, SAP/ERP, statistics and time series: explanations, examples, practical tips, sources and applicability limits.
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Explore the principles of semantic search, its reliance on embeddings, and the reasons why text that appears similar might not provide the desired answer. Learn about vector search, hybrid search, and their applications in information retrieval.
A practical guide to using pathlib for file existence checks, extension manipulation, directory navigation, and path resolution without introducing platform-specific bugs on Windows or Unix systems.
This article explains how to choose effective chunk boundaries and overlap in retrieval-augmented generation (RAG) systems, comparing fixed-size and document-aware strategies. Using a hypothetical support note example, it demonstrates the risks of splitting across semantic units and shows how metadata and overlap can preserve context. The guidance is based on Microsoft Azure documentation for chunking in vector search and RAG workflows.
The Universal Journal in SAP S/4HANA serves as a single source of truth for financial data, integrating financial and management accounting. This integration eliminates the need for reconciliation between FI and CO, enabling real-time margin analysis and enhanced reporting capabilities. By leveraging the Universal Journal, companies can generate accurate segment-specific financial statements, improving the analysis of financial performance and ensuring compliance with regulatory requirements.
A guide to using the Python csv module to automatically detect delimiters, handle Unicode Byte Order Marks (BOM) with utf-8-sig, and manage platform-specific newline issues using the Sniffer class and correct file opening parameters.