Best Open Embedding Models

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Open embedding models for RAG and semantic search. Canonical URL: https://huggingbay.xyz/answers/best-embedding-models.

Best Open Embedding Models is a citation-ready Hugging Bay answer pack backed by live catalog rows. Representative rows: nvidia/Nemotron-3-Embed-1B-BF16, Alibaba-NLP/gte-base-en-v1.5, FremyCompany/BioLORD-2023, sbintuitions/sarashina-embedding-v1-1b, VoVanPhuc/sup-SimCSE-VietNamese-phobert-base. Use each canonical citation URL plus metadata/card endpoints for current license, trust, hosting, and download state. Canonical URL: https://huggingbay.xyz/answers/best-embedding-models.

Question: What is the best open embedding model?

Open embedding models for RAG and semantic search.

Answer pack JSON Citation pack License guide Ranking page

nvidia/Nemotron-3-Embed-1B-BF16: Model from Hugging Face for sentence similarity: nvidia/Nemotron-3-Embed-1B-BF16 · sentence transformers
Alibaba-NLP/gte-base-en-v1.5: Model from Hugging Face for sentence similarity: Alibaba-NLP/gte-base-en-v1.5 · transformers
FremyCompany/BioLORD-2023: Model from Hugging Face for sentence similarity: FremyCompany/BioLORD-2023 · sentence transformers
sbintuitions/sarashina-embedding-v1-1b: Model from Hugging Face for sentence similarity: sbintuitions/sarashina-embedding-v1-1b · sentence transformers
VoVanPhuc/sup-SimCSE-VietNamese-phobert-base: Model from Hugging Face for sentence similarity: VoVanPhuc/sup-SimCSE-VietNamese-phobert-base · transformers
BAAI/bge-multilingual-gemma2: Model from Hugging Face for feature extraction: BAAI/bge-multilingual-gemma2 · sentence transformers
joe32140/ModernBERT-base-msmarco: Model from Hugging Face for sentence similarity: joe32140/ModernBERT-base-msmarco · sentence transformers
mesolitica/llama2-embedding-1b-8k: Model from Hugging Face for feature extraction: mesolitica/llama2-embedding-1b-8k · transformers
LazarusNLP/all-indo-e5-small-v4: Model from Hugging Face for sentence similarity: LazarusNLP/all-indo-e5-small-v4 · sentence transformers
cambridgeltl/SapBERT-UMLS-2020AB-all-lang-from-XLMR: Model from Hugging Face for feature extraction: cambridgeltl/SapBERT-UMLS-2020AB-all-lang-from-XLMR · transformers
aari1995/German_Semantic_STS_V2: Model from Hugging Face for sentence similarity: aari1995/German_Semantic_STS_V2 · sentence transformers
ai-sage/Giga-Embeddings-instruct-480M-0826: Model from Hugging Face for sentence similarity: ai-sage/Giga-Embeddings-instruct-480M-0826 · sentence transformers

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Updated 2026-09-21 from the live catalog.

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Best Open Embedding Models. Hugging Bay. https://huggingbay.xyz/answers/best-embedding-models

Last verified: 2026-09-21.

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