Stubbi
Rankings
Benchmark

RTEB

Evaluate how well embedding models find relevant documents on unseen retrieval tasks.

Checked Oct 20, 2026RTEB release contributors

Published leaderboard

Explore scores and evaluation settings on the publisher’s leaderboard.

Open leaderboard

Coverage

Retrieval Embedding Benchmark, introduced in beta with open and private text-retrieval datasets across application domains.

Methodology

Measure retrieval quality, including NDCG@10, on the stated dataset split. Compare open-data results with private evaluations run by MTEB maintainers.

People & organizations

7

Sources

MTEB implementationRTEB leaderboard