MTEB (Massive Text Embedding Benchmark) is a toolbox for evaluating embedding and retrieval systems. It provides standardized benchmarks across tasks including semantic search, clustering, reranking, STS, bitext mining, and text classification. The repository offers a leaderboard on HuggingFace for comparing model performance and supports installation via pip or uv.