Embeddings vs. Re-Ranking: How to Use Each
When embeddings are enough, when re-ranking is justified, and how to combine both in production retrieval pipelines.
Here are some of my thoughts on retrieval quality, FastAPI architecture, error handling, practical backend design, realtime integrations, and workflow automation.
When embeddings are enough, when re-ranking is justified, and how to combine both in production retrieval pipelines.
A practical pattern for keeping FastAPI thin while moving heavy ETL and report generation work off the request path.
How to keep systems dependable and maintainable without adding unnecessary complexity too early.
A production-minded look at failure handling, stability, and what real operational resilience requires.
A targeted technical article on wiring Python systems to SignalR-based realtime communication patterns.
Where workflow automation belongs, where backend code should take over, and how to combine both sanely.