Practical guides to AI, Python, Git, SQL, Web/API, SAP/ERP and mathematical models, with explanations, code examples, sources and limitations.
Every word must appear in the article. Use quotes for an exact phrase.
Step-by-step guide to creating an index, generating embeddings, and executing hybrid queries that combine full-text and vector search using Azure AI Search.
Separate a request timeout from the total retry budget, interpret Retry-After, and avoid duplicating writes when the server outcome is unknown.
Distinguish missing and empty settings, parse ports and booleans explicitly, and report configuration errors without exposing secrets.
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.
A posting rejection is usually a period-control issue, not a document-date mistake. The journal entry date is the document issue date, while the posting date determines the posting period that the system checks. The posting period variant, not the fiscal year variant, opens and closes periods for the header and for each account type.
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.
Understand the differences between offset-based and cursor-based pagination and when to use each, especially when dealing with frequently changing datasets.
Read training and validation scores together, fit preprocessing inside a pipeline and keep a final test set out of model selection.
Learn how to parse JSON data in Python from both string literals and files, and how to effectively handle potential decoding errors using the built-in json module.
How Python resolves relative paths depends on the process working directory, which varies by launcher. This guide shows how to inspect the working directory, choose and document an explicit path base, and understand why __file__ cannot always be trusted.
An explanation of how SAP S/4HANA links Financial Accounting (FI) and Management Accounting (CO) through organizational objects.
In SAP S/4HANA, a payment to a vendor settles an existing liability from a posted invoice; it is not a new expense. Tracing the payment back to the original invoice is done using clearing documents, assignment fields, and line item displays.
Understand financial reporting, internal cost allocation and their connection in S/4HANA.
A practical order for comparing SAP reports: organizational scope, ledger, fiscal period, currency and line-item detail.
Transactions in PostgreSQL allow grouping SQL operations into atomic blocks using the commands BEGIN, COMMIT, and ROLLBACK. This ensures data integrity: either all changes are applied or none at all. The mechanism is based on ACID principles - atomicity, consistency, isolation, and durability.