Feature Extraction2022en
MTEB Leaderboard
Massive Text Embedding Benchmark across 8 task categories
avg-score
| # | Model | Score | Paper / Code | Date |
|---|---|---|---|---|
| 1 | NV-Embed-v2Open Source NVIDIA | 72.31 | Sep 2024 | |
| 2 | GTE-Qwen2-7B-instructOpen Source Alibaba | 72.05 | Jun 2024 | |
| 3 | voyage-3-large Voyage AI | 70.32 | Jan 2025 | |
| 4 | E5-Mistral-7B-instructOpen Source Microsoft | 66.63 | Jan 2024 | |
| 5 | jina-embeddings-v3Open Source Jina AI | 65.18 | Sep 2024 | |
| 6 | text-embedding-3-large OpenAI | 64.6 | Jan 2024 |
Related Papers3
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Sep 2024Models: NV-Embed-v2
jina-embeddings-v3: Multilingual Embeddings With Task LoRA
Sep 2024Models: jina-embeddings-v3
Improving Text Embeddings with Large Language Models
Jan 2024Models: E5-Mistral-7B-instruct