Tag: Embedding

2 articles

• LLM Retrieval Index Update in Production: Using Blue-Green Index and Incremental Backfill to Prevent RAG Quality Regression

  This article explains how to govern RAG retrieval index updates, covering blue-green indexes, dual-write, incremental backfill, alias switching, quality sampling, and rollback strategies to help teams reduce retrieval quality regression risk when documents, embedding models, or chunking rules change.

  07/04/2026 LLM / RAG / Vector Search / Embedding / Production Engineering

• Embedding & Reranker Production Evaluation: Preventing Retrieval Regression with Offline Replay and Shadow Traffic

  A systematic guide to evaluating retrieval quality after deploying Embedding and Reranker models. Covers offline replay, shadow traffic, hybrid search, metric design, and regression handling to prevent silent quality degradation.

  07/02/2026 Embedding / Reranker / RAG / Hybrid Search / Retrieval Evaluation / Shadow Traffic / Offline Replay