Practical guides to AI, Python, Git, SQL, Web/API, SAP/ERP and mathematical models, with explanations, code examples, sources and limitations.
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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.
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.
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.
Understand financial reporting, internal cost allocation and their connection in S/4HANA.
This document explains the Cache-Control HTTP headers 'no-store', 'no-cache', and 'private', detailing their distinctions in controlling caching behavior for public and personalized responses, along with browser diagnostics and common pitfalls.
Separate a request timeout from the total retry budget, interpret Retry-After, and avoid duplicating writes when the server outcome is unknown.
Use ON CONFLICT to atomically insert or update rows based on unique constraints. Specify the exact conflict target, handle duplicate input rows, and understand that excluded values replace, not accumulate.
Prediction intervals aim to contain future individual observations, while confidence intervals target a mean or other parameter, and the two are not interchangeable. Empirical coverage is the held-out fraction inside the interval and width is the distance between quantile limits; a constructed five-value example gives 80 percent coverage and mean width 1.8.
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.
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.
Learn how to effectively evaluate the precision and recall of AI models, especially when working with small question datasets. This guide covers the concepts, calculation methods, and practical considerations using scikit-learn.
Separate authentication, permissions, rate limits and service availability before retrying.
Use If-None-Match to revalidate cached responses and If-Match to avoid overwriting a newer representation.
Understand the differences between offset-based and cursor-based pagination and when to use each, especially when dealing with frequently changing datasets.
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.
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.
How retrieval connects a language model to documents, and why a citation is not a guarantee.
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.
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.
Build a previous-season reference, evaluate it on later observations and distinguish calendar alignment from leakage and missing data.