Design a Python pipeline to embed 50 million documents and keep them updated
Interview insights are lockedSee how often this is asked and which companies asked it with Buncho Pro.Design a Python-based batch pipeline that computes embeddings for about 50 million documents (average 400 tokens) and loads them into a vector index. After the initial load, about 2% of documents change daily.
Discuss architecture, concurrency model, failure handling, cost, data quality and how you would validate and monitor the system.