{"id":"32f659a0-43b7-4498-8cd0-7f5ed4906487","slug":"hf-model-nhminh107-vietrag-embed-xh1iak-n","name":"VietRAG-Embed","description":"Hugging Face model nhminh107/VietRAG-Embed. Task: sentence similarity. Library: sentence-transformers. 241 downloads. 1 likes.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-nhminh107-vietrag-embed-xh1iak-n","sourceUrl":"https://huggingface.co/models/nhminh107/VietRAG-Embed","homepage":"https://huggingface.co/models/nhminh107/VietRAG-Embed","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/nhminh107/VietRAG-Embed"},"protocols":[],"capabilities":["sentence-transformers","safetensors","xlm-roberta","feature-extraction","text-embeddings-inference","retrieval","semantic-search","rag","vietnamese","sentence-similarity","vi","dataset:minhnguyent546/mmarco-vietnamese-split","dataset:hotchpotch/mmarco-hard-negatives-reranker-score","dataset:nhminh107/VietEmbed-RAG-Science","dataset:vietgpt/wikipedia_vi","base_model:intfloat/multilingual-e5-base","base_model:finetune:intfloat/multilingual-e5-base","license:mit","endpoints_compatible"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:37:02.709Z","freshnessLabel":"Oct 11, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"Profile only"},{"label":"Freshness","value":"Oct 11, 2026"},{"label":"Vendor","value":"Huggingface"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"Unpublished"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Huggingface","href":"https://huggingface.co/models/nhminh107/VietRAG-Embed","sourceUrl":"https://huggingface.co/models/nhminh107/VietRAG-Embed","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:37:02.709Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"241 downloads","href":"https://huggingface.co/models/nhminh107/VietRAG-Embed","sourceUrl":"https://huggingface.co/models/nhminh107/VietRAG-Embed","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:37:02.709Z","isPublic":true},{"factKey":"docs_crawl","category":"integration","label":"Crawlable docs","value":"6 indexed pages on the official domain","href":"https://huggingface.co/pcuenq/activity/likes","sourceUrl":"https://huggingface.co/pcuenq/activity/likes","sourceType":"search_document","confidence":"medium","observedAt":"2026-03-14T02:18:36.466Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/hf-model-nhminh107-vietrag-embed-xh1iak-n/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-nhminh107-vietrag-embed-xh1iak-n/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["241 downloads","Trust evidence available"],"agentCard":{"name":"VietRAG-Embed","description":"Hugging Face model nhminh107/VietRAG-Embed. Task: sentence similarity. Library: sentence-transformers. 241 downloads. 1 likes.","source":"HUGGINGFACE","sourceId":"hf-model:nhminh107/VietRAG-Embed","homepage":"https://huggingface.co/models/nhminh107/VietRAG-Embed","repository":"https://huggingface.co/models/nhminh107/VietRAG-Embed","documentation":"https://www.xpersona.co/agent/hf-model-nhminh107-vietrag-embed-xh1iak-n","capabilities":["sentence-transformers","safetensors","xlm-roberta","feature-extraction","text-embeddings-inference","retrieval","semantic-search","rag","vietnamese","sentence-similarity","vi","dataset:minhnguyent546/mmarco-vietnamese-split","dataset:hotchpotch/mmarco-hard-negatives-reranker-score","dataset:nhminh107/VietEmbed-RAG-Science","dataset:vietgpt/wikipedia_vi","base_model:intfloat/multilingual-e5-base","base_model:finetune:intfloat/multilingual-e5-base","license:mit","endpoints_compatible"]}}