Zero-shot benchmark for embedding model evaluation on 18 diverse datasets with NDCG@10 and Recall@100 metrics correlating to vector DB QPS/latency in production. Features heterogeneous tasks like QA, fact-checking, biomedical retrieval for robust comparisons. Use cases include selecting embeddings for RAG pipelines in vector DBs; complements ANN-Benchmarks indexing focus with retrieval task evaluation, differs from VectorDBBench full-DB tests.
