SFR-Embedding-2
by Salesforce Research · free · Last verified 2026-03-17
SFR-Embedding-2 is Salesforce Research's second-generation text embedding model built on a large language model backbone, achieving top results on the MTEB leaderboard at release. It employs a novel training strategy combining supervised contrastive learning with LLM fine-tuning for exceptional retrieval and semantic similarity performance.
https://huggingface.co/Salesforce/SFR-Embedding-2_R ↗C+
C+—Average
Adoption: C+Quality: AFreshness: ACitations: C+Engagement: F
Specifications
- License
- Apache 2.0
- Pricing
- free
- Capabilities
- text-embeddings, semantic-search, retrieval, clustering, classification
- Integrations
- Hugging Face, LangChain, LlamaIndex, Pinecone
- Use Cases
- semantic-search, rag-pipelines, document-retrieval, text-clustering, similarity-search
- API Available
- Yes
- Parameters
- 7B
- Context Window
- 32K
- Modalities
- text
- Training Cutoff
- 2024
- Tags
- salesforce, embeddings, open-source, retrieval, llm-based
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
52.7Adoption
52
Quality
87
Freshness
84
Citations
58
Engagement
0