MTEB: Massive Text Embedding Benchmark
What changed
The 🥇 leaderboard provides a holistic view of the best text embedding models out there on a variety of tasks. The 📝 paper gives background on the tasks and datasets in MTEB and analyzes leaderboard results! The 💻 Github repo contains the code for benchmarking and submitting any model of your choice to the leaderboard.
Why it matters
A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.
How it compares
Related prior coverage to compare against:
- New embedding models and API updates
- Deploy Embedding Models with Hugging Face Inference Endpoints
- Multimodal Embedding & Reranker Models with Sentence Transformers
Sources
- MTEB: Massive Text Embedding Benchmark (huggingface-blog)primary