RTEB B
AI benchmark · Retrieval
What is RTEB?
Retrieval Text/Embedding Benchmark leaderboard for embedding models across domain, multilingual, code, legal, finance, healthcare, multimodal, and document-understanding retrieval tasks.
Tier B
Established: 15 or more models scored, or curated RL directories rate it.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 41 models scored
- in curated RL directories (1 pt)
On X · unclear, none buzz, from 1 post about RTEB in the last month
The only post naming RTEB is an unrelated French phrase, so there is no real discussion of the benchmark in the last month.
How we got to tier B
- Adoption: 41 models scored. Tier B.
- On X: unclear, none buzz. “The only post naming RTEB is an unrelated French phrase, so there is no real discussion of the benchmark in the last month.” No move.
- In curated RL directories: 1 point, a floor of none.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.