Hard Negative Mining for RAG Evals in Python: Build Tougher Retrieval Tests

Description

Hard negative mining in Python: build confusable-but-wrong distractors to expose retriever ranking failures before production. Implement a compact pipeline—lexical retriever, MD5-based deterministic embeddings, semantic scoring and lexical filters—to create realistic RAG tests and reduce deployment surprises. #HardNegativeMining #RAG #RetrievalAugmentedGeneration #Python #AIEngineering #InformationRetrieval #MachineLearning Subscribe for practical AI engineering and LLM evaluation tutorials.