Yalda Embedding
Yaldat · Kit
Turns Persian text into 1,024-number embeddings for semantic search and retrieval. Built for developers who need to match Persian questions to the right passag…
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AI projects from Hugging Face
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bge-small-en-v1.5-GGUF
unsloth · Kit
Turns English text into embeddings for search and retrieval, in a small GGUF file of 33.2M parameters. For developers who build search or retrieval apps on mod…
New
harrier-oss-v1-27b
microsoft · Kit
Turns text in many languages into embedding vectors for search, clustering, similarity, classification and reranking. Made for developers who run semantic sear…
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mSlideOn
lightonai · Kit
Turns queries and documents into sparse vectors you can search with an inverted index, across several languages and long text. A 339M multilingual retrieval mo…
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hs-rerank-1
hindsight-ai · Kit
Scores how well each document answers a query, in eight languages and for inputs up to 8,192 tokens, so a search or memory system can put the best matches firs…
New
UIBK-Embedding-v1
DataScience-UIBK · Kit
Finds the passages that best match a query, using one model that combines token level and whole text matching. An English retrieval model from the University o…
New
bge-small-en-v1.5
BAAI · Kit
A small English text embedding model from BAAI that turns sentences into vectors for search and retrieval. About 33M parameters, and part of the FlagEmbedding…
New
bge-base-en-v1.5
BAAI · Kit
Turns English text into number vectors for search and retrieval. A 109M-parameter embedding model from BAAI, for developers who build semantic search or retrie…
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pplx-embed-v2-late-0.6b
perplexity-ai · Kit
Scores queries against text, images and document pages with a ColBERT-style model that keeps one small vector per token. For developers who build search over m…
New
SPARSEUP
Linkup-Platform · Kit
A 188M-parameter English sparse retrieval model from Linkup that turns queries and documents into weighted word lists for search. It scores 56.4 on BEIR, the b…
New
multilingual-e5-large
intfloat · Kit
Turns text in about 100 languages into 1024-number vectors for search, matching and retrieval. A 560M-parameter embedding model from intfloat, built on xlm-rob…
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hs-embed-1
hindsight-ai · Kit
Turns text into compact vectors for search and matching in eight languages, with inputs up to 8,192 tokens. A small 112M embedding model built for Hindsight, r…
New
bekko-static-v1-slim-100k
flowercomputers · Kit
Turns text into 1024-dimension vectors with a static embedding model, trimmed to 25 languages. Fast sentence similarity and retrieval, without a transformer, i…
New
paraphrase-multilingual-MiniLM-L12-v2
sentence-transformers · Kit
Turns sentences and paragraphs into 384-number vectors for semantic search, clustering and sentence similarity, with a multilingual model from the sentence-tra…
New
voyage-4-nano
MongoDB · Kit
Multilingual text embedding model of 346M parameters from the Voyage 4 series, for semantic search and retrieval, with flexible vector sizes. For developers bu…
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SlideOn
lightonai · Kit
An English sparse retrieval model from LightOn that turns queries and documents into sparse vectors for inverted-index search. It suits search engineers and de…
New
nomic-embed-text-v1.5
nomic-ai · Kit
Turns English text into embedding vectors for search, clustering and classification, and the vectors can be cut to a smaller size. It suits developers building…
New
Qwen3-Embedding-4B
Qwen · Kit
Turns text and code in over 100 languages into vectors for search, retrieval, classification and clustering, with adjustable vector size and task instructions,…
New
harrier-oss-v1-0.6b
microsoft · Kit
Turns text in many languages into number vectors for search, clustering and similarity matching, a 0.6B embedding model from Microsoft for developers building…
New
AsteroRank-Lepton
Asteromorph · Kit
Scores how relevant each document is to a search query, with optional context, to reorder search results. A 4B open-weights reranker for science and general se…
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