Sentence-Transformers Embeddings: Benchmark Retrieval Quality with MTEB in Python

Description

Benchmark embeddings for retrieval — learn how to measure which model actually retrieves better for RAG with repeatable metrics. Follow a compact workflow to compute nDCG@10, compare Sentence-Transformers models, normalize embeddings, and pick a reliable baseline for production RAG. Hands-on code uses Sentence-Transformers (util.semantic_search), MTEB (SciFact, NFCorpus) and FAISS for index tuning and fair comparisons. Subscribe for concise AI engineering and LLM retrieval tutorials. #Embeddings #RAG #RetrievalAugmentedGeneration #SentenceTransformers #MTEB #AIEngineering