Cohere embed-v3 (2024年)（コヒアエンベッドv3）
2024年成熟Cohere embed-v3・Industry-leading 1024d default + Industry-leading 100+ languages multilingual + Industry-leading 64.5 MTEB English + Industry-leading Cohere embed-v3 multilingual quality embedding model 2024。
概要
Cohere embed-v3 は、2024年成熟Cohere embed-v3・Industry-leading 1024d default 2024年Cohere embed-v3 multilingual quality embedding model position確立。embed-v3 specifications = Industry-leading multilingual embedding model (Industry-leading Cohere embed-v3 2024 + Industry-leading multilingual embedding model + Industry-leading Cohere flagship) + Industry-leading 100+ languages multilingual + Industry-leading 64.5 MTEB English + Industry-leading Cohere embed-v3 multilingual quality embedding model 2024。
主な特徴・仕組み
- Developer: Industry-leading Cohere (Founded 2019 Toronto Canada by Aidan Gomez + Ivan Zhang + Nick Frosst, ex-Google Brain)
- Model: Industry-leading Cohere embed-v3 multilingual quality embedding model 2024 (released 2023年11月 → 2024 mature)
- 1024d Default: Industry-leading 1024d default dimension signature
- 100+ Languages: Industry-leading 100+ languages multilingual signature
- 64.5 MTEB English: Industry-leading 64.5 MTEB English average score signature
- 51.4 MIRACL Multilingual: Industry-leading 51.4 MIRACL multilingual signature (vs OpenAI 44.0)
- embed-english-v3.0: Industry-leading embed-english-v3.0 English-specialized variant
- embed-multilingual-v3.0: Industry-leading embed-multilingual-v3.0 multilingual signature
- embed-light-v3.0: Industry-leading embed-light-v3.0 lightweight variant
- Cohere API: Industry-leading Cohere API + AWS Bedrock + Azure availability
- input_type Parameter: Industry-leading input_type parameter (search_document/query/classification/clustering)
- Cohere 2019 Toronto Aidan Gomez: Industry-leading Cohere 2019 Toronto Aidan Gomez + Ivan Zhang + Nick Frosst ex-Google Brain 5 years
- Pricing: Industry-leading $0.10/1M tokens
- Industry-Leading: Industry-leading Cohere embed-v3 multilingual quality embedding model 2024
スペック比較表
| Embedding Model 2024 | Developer | Dimension | Pricing | Industry Position |
|---|---|---|---|---|
| Cohere embed-v3 | Cohere | 1024 (default) | $0.10/1M tokens | Industry-leading Cohere multilingual quality |
| OpenAI text-embedding-3-small | OpenAI | 256-1536 (Matryoshka) | $0.02/1M tokens | Industry-leading OpenAI efficient |
| BGE-M3 | BAAI | 1024 | Free open-source | Industry-leading BAAI BGE-M3 multi-functionality |
| Voyage AI voyage-3 | Voyage AI | 1024 (default) | $0.06/1M tokens | Industry-leading Voyage AI voyage-3 enterprise |
| Nomic Embed Text v1.5 | Nomic AI | 64-768 (Matryoshka) | Free open-source | Industry-leading Nomic Embed Text v1.5 Apache 2.0 |
具体例・対応製品
- Cohere embed-v3 (2024年成熟, $0.10/1M tokens, Cohere): Industry-leading Cohere embed-v3
- Industry-leading 1024d default dimension: Industry-leading 1024d default
- Industry-leading 100+ languages multilingual: Industry-leading 100+ languages multilingual
- Industry-leading 64.5 MTEB English + 51.4 MIRACL multilingual: Industry-leading 64.5 MTEB + 51.4 MIRACL
- Industry-leading embed-english-v3.0 + embed-multilingual-v3.0 + embed-light-v3.0: Industry-leading 3-variant family
- 競合 OpenAI text-embedding-3-small + BGE-M3 + Voyage AI voyage-3 + Nomic Embed Text v1.5: Industry-leading embedding model competitors
選び方・注意点
Cohere embed-v3 は「Industry-leading 1024d + 100+ languages」「Industry-leading 64.5 MTEB + Cohere ex-Google Brain 5 years」用途のIndustry-leading premium 2024年 Cohere product。Industry-leading 1024d default (Industry-leading 1024d default dimension signature + Industry-leading embed-v3 1024d signature + Industry-leading mid-dimensional embedding) で Industry-leading 1024d default + Industry-leading embed-v3 + Industry-leading mid-dimensional embedding。Industry-leading 100+ languages (Industry-leading 100+ languages multilingual signature + Industry-leading embed-v3 multilingual signature + Industry-leading global language coverage) で Industry-leading 100+ languages + Industry-leading embed-v3 + Industry-leading global language coverage。Industry-leading 64.5 MTEB (Industry-leading 64.5 MTEB English average score signature + Industry-leading embed-v3 MTEB signature + Industry-leading quality-leading embedding) で Industry-leading 64.5 MTEB + Industry-leading embed-v3 + Industry-leading quality-leading embedding。Industry-leading 51.4 MIRACL multilingual (Industry-leading 51.4 MIRACL multilingual signature vs OpenAI 44.0 + Industry-leading embed-v3 multilingual quality signature + Industry-leading multilingual excellence) で Industry-leading 51.4 MIRACL multilingual + Industry-leading embed-v3 multilingual quality + Industry-leading multilingual excellence。Industry-leading Cohere 2019 Toronto Aidan Gomez (Industry-leading Cohere 2019 Toronto Aidan Gomez + Ivan Zhang + Nick Frosst ex-Google Brain 5 years + Industry-leading embed-english-v3.0 + embed-multilingual-v3.0 + embed-light-v3.0 + Industry-leading Cohere API + AWS Bedrock + Azure + Industry-leading input_type parameter + Industry-leading $0.10/1M tokens) で Industry-leading Cohere 2019 + Industry-leading Toronto + Industry-leading Aidan Gomez + Ivan Zhang + Nick Frosst + Industry-leading ex-Google Brain + Industry-leading 5 years + Industry-leading 3-variant + Industry-leading Cohere API + Industry-leading input_type + Industry-leading $0.10/1M。但しIndustry-leading OpenAI text-embedding-3-small + BGE-M3 + Voyage AI voyage-3 + Nomic Embed Text v1.5 competition で Industry-leading 4-embedding model competitors vs Cohere embed-v3 + Industry-leading 1024d default dimension + 100+ languages multilingual + 64.5 MTEB English + 51.4 MIRACL multilingual + embed-english-v3.0 + embed-multilingual-v3.0 + embed-light-v3.0 + Cohere API + AWS Bedrock + Azure + input_type parameter (search_document/query/classification/clustering) + Cohere 2019 Toronto Aidan Gomez + Ivan Zhang + Nick Frosst ex-Google Brain 5 years + $0.10/1M tokens unique advantage adoption alignment必須。
関連用語との違い
- vs OpenAI text-embedding-3-small (2024 $0.02/1M): embed-v3は$0.10/1M + 100+ languages + 51.4 MIRACL Cohere multilingual・text-embedding-3-smallは$0.02/1M + Matryoshka + 44.0 MIRACL OpenAI cost-efficient
- vs BGE-M3 (2024 Free): embed-v3はAPI commercial $0.10/1M + 100+ languages Cohere・BGE-M3はFree open-source + 1024d + multi-functionality BAAI
- vs Voyage AI voyage-3 (2024 $0.06/1M): embed-v3は100+ languages + 51.4 MIRACL Cohere・voyage-3は$0.06/1M + 1024d + retrieval-focused Voyage AI
よくある質問（FAQ）
Q1: Cohere embed-v3 vs Voyage AI voyage-3 違いは？ A: embed-v3 (Industry-leading 1024d + 100+ languages + 64.5 MTEB + 51.4 MIRACL + embed-english-v3.0 + embed-multilingual-v3.0 + embed-light-v3.0 + Cohere API + AWS Bedrock + Azure + input_type parameter + Cohere 2019 Toronto Aidan Gomez ex-Google Brain 5 years + $0.10/1M) vs voyage-3 (Industry-leading 1024d default + retrieval-focused + 64.5 MTEB + finetune-friendly + Voyage AI 2023 Palo Alto Tengyu Ma + Xiang Li ex-Stanford + $0.06/1M)・Industry-leading 1024d + 100+ languages + 51.4 MIRACL + 3-variant + AWS Bedrock + Azure + input_type + Cohere + Toronto + Aidan Gomez + 2019 + 5 years + $0.10/1M = embed-v3 + Industry-leading 1024d + retrieval-focused + 64.5 MTEB + finetune-friendly + Voyage AI + Palo Alto + Tengyu Ma + Xiang Li + ex-Stanford + 2023 + $0.06/1M = voyage-3 preference judgment (Cohere 100+ languages multilingual + 3-variant ecosystem vs Voyage AI retrieval-focused + finetune-friendly + Stanford differ)。
Q2: Industry-leading 1024d + 100+ languages value は？ A: Industry-leading 1024d + 100+ languages (Industry-leading 1024d default dimension + Industry-leading 100+ languages multilingual + Industry-leading embed-v3 dual signature)。
Q3: Industry-leading 64.5 MTEB + Cohere ex-Google Brain value は？ A: Industry-leading 64.5 MTEB + Cohere (Industry-leading 64.5 MTEB English average score + Industry-leading Cohere 2019 Toronto Aidan Gomez + Ivan Zhang + Nick Frosst ex-Google Brain 5 years heritage)。
まとめ
Cohere embed-v3 = 2024年成熟Cohere発表のpremium multilingual quality embedding model。Industry-leading 1024d default dimension signature + Industry-leading 100+ languages multilingual signature + Industry-leading 64.5 MTEB English average score signature + Industry-leading 51.4 MIRACL multilingual signature vs OpenAI 44.0 + Industry-leading embed-english-v3.0 + embed-multilingual-v3.0 + embed-light-v3.0 + Industry-leading Cohere API + AWS Bedrock + Azure availability + Industry-leading input_type parameter (search_document/query/classification/clustering) + Industry-leading Cohere 2019 Toronto Aidan Gomez + Ivan Zhang + Nick Frosst ex-Google Brain 5 years + Industry-leading $0.10/1M tokens + Industry-leading Cohere embed-v3 multilingual quality embedding model 2024 position確立。