Models tagged "semantic-search"

🤖 Model

cuuupid/e5-mistral-7b-instruct

Generate text embeddings for semantic search, retrieval, clustering, and reranking. Accepts batches of texts and returns...

text-embedding • semantic-search • 144 runs

🤖 Model

creatorrr/all-mpnet-base-v2

Convert text into dense sentence embeddings for semantic search and retrieval. Accept single or multiple text strings an...

text-embedding • sentence-embedding • 45.8K runs

🤖 Model

beautyyuyanli/multilingual-e5-base

Convert text in many languages into vector embeddings for cross-lingual semantic search and retrieval. Accept a list of...

text-embedding • multilingual • semantic-search • 16 runs

🤖 Model

adirik/multilingual-e5-base

Generate multilingual text embeddings for semantic search, retrieval, and relevance ranking. Takes a passage and optiona...

text-embedding • semantic-search • multilingual • 67 runs

🤖 Model

nateraw/bge-large-en-batched

Generate dense text embeddings for English text in bulk. Accepts a JSONL file where each line is a JSON object with a te...

text-embedding • semantic-search • 11 runs

🤖 Model

fakturi/bge-reranker-large

Re-rank documents and passages for retrieval using query–document pairs, returning relevance scores for each pair. Accep...

text-reranking • information-retrieval • rag • 25 runs

🤖 Model

cuuupid/gte-qwen2-7b-instruct

Convert text to vector embeddings for semantic search, retrieval, clustering, and RAG. Accepts an array of texts and ret...

text-embedding • semantic-search • rag • 1.1M runs

🤖 Model

lucataco/qwen3-embedding-8b

Convert text into dense vector embeddings for semantic search, retrieval, clustering, and classification. Accepts single...

text-embedding • multilingual • 544.8K runs

🤖 Model

nateraw/bge-large-en-v1.5

Convert English text into dense vector embeddings for semantic search and retrieval. Accept batches of texts and return...

text-embedding • semantic-search • 296.3K runs