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.
RAG / chunking / Azure AI Search / information retrieval / document processing
This document outlines the appropriate correction routes for financial journal entries versus supplier invoice corrections within SAP S/4HANA, emphasizing reversal, credit memos, and cleared items, and avoiding general advice across modules.
SAP S/4HANA / FI / MM / Correction Routes / Reversal / Credit Memo / Cleared Items / Logistics Invoice Verification
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.
SAP S/4HANA / Universal Journal / Segment Reporting / Financial Reporting / Real-Time Analysis / Compliance / FI/CO Integration / Document Splitting
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.
PostgreSQL / transactions / BEGIN / COMMIT / ROLLBACK / ACID / savepoint
A detailed technical breakdown of the differences between WHERE and HAVING clauses, focusing on execution order, aggregate function compatibility, and performance optimization strategies.
SQL / PostgreSQL / Database / Query Optimization / Data Analysis
Compare three similarity calculations on small vectors and see when normalization changes the ranking.
ai
See why groups of different sizes give a combined mean of 18 rather than 15, with a short Python example.
math
A technical guide explaining why syntactically correct JSON from Large Language Models (LLMs) is insufficient for production systems and how JSON Schema provides the necessary structural and type guarantees.
LLM / JSON / JSON Schema / Data Validation / Software Engineering / Python
Find the expensive step and distinguish estimates from measurements.
PostgreSQL / SQL / Performance
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.
python / csv / data-processing / encoding / utf-8-sig / automation
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.
Python / pathlib / relative paths / working directory / __file__ / os.getcwd
An explanation of how SAP S/4HANA links Financial Accounting (FI) and Management Accounting (CO) through organizational objects.
enterprise
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.
SAP S/4HANA / Accounts Payable / Financial Accounting / Clearing / Document Flow / FI-AP
Understand financial reporting, internal cost allocation and their connection in S/4HANA.
SAP / FI / CO / S/4HANA
A practical order for comparing SAP reports: organizational scope, ledger, fiscal period, currency and line-item detail.
SAP / Universal Journal / Reporting
Diagnose repeated JOIN rows by counting matching keys, checking constraints and choosing whether the result should contain orders, items or summaries.
SQL / JOIN / PostgreSQL
Understand IS NULL, three-valued logic and the difference between COUNT(*) and COUNT(column).
SQL / PostgreSQL / NULL
Build a previous-season reference, evaluate it on later observations and distinguish calendar alignment from leakage and missing data.
Time Series / Forecasting / Baseline / Validation
Use chronological splits and fit preprocessing only on past data.
Python / Time series / Validation
Distinguish response access from request sending, inspect an OPTIONS preflight and configure explicit origins for credentialed browser requests.
HTTP / CORS / fetch / API / Troubleshooting