The Celery Question # For years, when someone asked “How do I handle background tasks in Django?”, the answer was almost always “Use Celery”. And for good reason. Celery is mature, battle-tested, and has solved async task processing for countless Django applications. It has extensive documentation, a large ecosystem of plugins, and most Django developers have at least some experience with it.
The Challenge of Reliable Background Operations # Building web applications with Flask is straightforward until you need to handle operations that can fail. Database operations timeout, external APIs become unavailable, and network connections drop. These failures are inevitable in production systems, yet handling them gracefully often requires significant engineering effort.
Learn how to implement a powerful Retrieval-Augmented Generation (RAG) system using PostgreSQL and pgvector. This comprehensive guide covers everything from setting up a custom PostgreSQL Docker image to creating a fully functional RAG query system with vector embeddings and language model inference.