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SFR Embedding 2 R

huggingface.co·Infrastructure·🇺🇸

SFR-Embedding-2_R is a state-of-the-art text embedding model from Salesforce Research. It is designed for feature extraction and performs strongly on the MTEB benchmark. The model is compatible with sentence-transformers and the Hugging Face Transformers library, making it suitable for semantic search, RAG pipelines, and classification tasks.

Open SourceWebAPI
SSFR Embedding 2 R preview
Visit huggingface.co↗

Overview

3 features

SFR Embedding 2 R is a Foundation models & chat project. It focuses on generating high-quality dense embeddings for semantic search, retrieval, and classification without building custom embedding models. It is built as an open-source project for developers building RAG and semantic search systems. SFR Embedding 2 R is open source under the Open Source license. It runs on the web and API.

It is developed by Salesforce (United States), and it first shipped in 2024. Key capabilities include Feature Extraction, Sentence Transformers, and MTEB Evaluation.

Summary written by a language model from the project’s public pages.

  • ✓Feature Extraction
  • ✓Sentence Transformers
  • ✓MTEB Evaluation
Tags
text-embeddingretrieval-modelsentence-transformersmteb
AI capabilities
Text
Inference: LocalWeights: Open

Built with & integrations

Hosting
AWS
Runs on
BrowserAPI-only
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header

Trust & compliance

License
Open Source
Verified signals
✓HTTPS✓Open Source✓Free tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed25 Jul · 21:41 UTC
    Salesforce/SFR-Embedding-2_R verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about SFR Embedding 2 R

What does SFR Embedding 2 R do?
SFR Embedding 2 R focuses on generating high-quality dense embeddings for semantic search, retrieval, and classification without building custom embedding models. It is catalogued under Foundation models & chat on PulseGate.
Who is SFR Embedding 2 R for?
SFR Embedding 2 R is an open-source project built for developers building RAG and semantic search systems.
Is SFR Embedding 2 R free?
Yes — SFR Embedding 2 R is open source under the Open Source license and free to use.
What platforms does SFR Embedding 2 R run on?
SFR Embedding 2 R runs on the web and API.
Is SFR Embedding 2 R still maintained?
Unverified. SFR Embedding 2 R has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to SFR Embedding 2 R?
Similar projects tracked by PulseGate include Ouro 1.4B, Bge Reranker V2 M3 Ko, and Qwen 72B.Ouro 1.4BBge Reranker V2 M3 KoQwen 72B
Who develops SFR Embedding 2 R?
SFR Embedding 2 R is developed by Salesforce, based in the United States.
How long has SFR Embedding 2 R been around?
SFR Embedding 2 R first shipped in 2024.

At a glance

Pricing
Open Source
Platforms
Web
Languages
English
License
Open Source
Built for
Developers building RAG and semantic search systems
Model
Open source
Solves
Generating high-quality dense embeddings for semantic search, retrieval, and classification without building custom embedding models.

Registered as

Hugging Face
Salesforce/SFR-Embedding-2_R

Developer

🇺🇸Salesforce

Live coverage

Identity confidence
Medium · 70.4
Indexed
25 Jul 2026
Lifecycle
Alive
Last seen
25 Jul 2026
Identity audit (13)
Slug
salesforce-sfr-embedding-2-r-huggingface-co
Lifecycle state recorded
25 Jul 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
25 Jul 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Derived from the model's own Hugging Face metadata.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
5 Aug 2026
Canonical URL
https://huggingface.co/Salesforce/SFR-Embedding-2_R

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