🤖 Model
cuuupid/e5-mistral-7b-instruct
Generate text embeddings for semantic search, retrieval, clustering, and reranking. Accepts batches of texts and returns...
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semantic-search AI Models
Found 32 models (showing 21-32)
🤖 Model
creatorrr/all-mpnet-base-v2
Generate sentence embeddings from one or multiple text inputs. Return dense vector representations for semantic search,...
🤖 Model
beautyyuyanli/multilingual-e5-base
Convert text in many languages into vector embeddings for cross-lingual semantic search and retrieval. Accept a list of...
🤖 Model
adirik/multilingual-e5-base
Generate multilingual text embeddings and a query–passage relevance score from text input. Accepts a query and a passage...
🤖 Model
nateraw/bge-large-en-batched
Generate dense text embeddings from a JSONL dataset for semantic search, retrieval, and RAG workflows. Accept a JSONL fi...
🤖 Model
fakturi/bge-reranker-large
Rerank text passages for a query by scoring text pairs and returning relevance scores. Accept a JSON list of (query, doc...
🤖 Model
cuuupid/gte-qwen2-7b-instruct
Convert text into dense vector embeddings for semantic search and retrieval. Generate sentence and paragraph embeddings...
🤖 Model
lucataco/qwen3-embedding-8b
Embed text into dense vectors for semantic search, retrieval/reranking, clustering, classification, recommendations, and...
🤖 Model
nateraw/bge-large-en-v1.5
Convert English text into dense vector embeddings. Accepts lists of text strings and returns normalized embeddings for s...
🤖 Model
andreasjansson/llama-2-70b-embeddings
Convert text into dense vector embeddings for semantic search, similarity, clustering, classification, and retrieval-aug...
🤖 Model
replicate/all-mpnet-base-v2
Convert text into 768-dimensional embeddings for semantic search, retrieval, clustering, and similarity matching. Accept...
🤖 Model
andreasjansson/llama-2-13b-embeddings
Convert text prompts into vector embeddings. Accepts a string of up to 100 prompts separated by a customizable prompt_se...