In practice, retrieval is a system with its own failure modes, its own latency budget and its own quality requirements.
From ETL workflows to real-time streaming, Python has become the go-to language for building scalable, maintainable, and high-performance data pipelines. With tools like Apache Airflow, Polars, and ...