🤖 Model
lucataco/nomic-embed-text-v1
Convert text into vector embeddings for semantic search, retrieval-augmented generation, clustering, and classification....
← Back to search
semantic-search AI Models
Found 32 models (showing 1-20)
🤖 Model
lucataco/snowflake-arctic-embed-l
Embed text into 1024-dimensional vectors for semantic search, dense retrieval, and RAG pipelines. Takes a text prompt an...
🤖 Model
yxzwayne/bge-reranker-v2-m3
Rerank query–document pairs for information retrieval and RAG. Accepts text inputs as one or many [query, passage] pairs...
🤖 Model
mark3labs/embeddings-gte-base
Convert text into dense vector embeddings for semantic search, information retrieval, semantic textual similarity, reran...
🤖 Model
sesamo-srl/bge-reranker-v2-m3
Re-rank query–candidate text pairs for search and RAG by returning a relevance score per pair. Takes a JSON-encoded list...
🤖 Model
center-for-curriculum-redesign/bge_1-5_query_embeddings
Generate query embeddings from short English text for passage retrieval and semantic search. Accepts an array of query s...
🤖 Model
ninehills/bge-reranker-base
Score relevance between text pairs for re-ranking search results and RAG pipelines. Takes a JSON-formatted list of (quer...
🤖 Model
yxzwayne/jina-reranker-v1-turbo-en
Rerank documents for a text query, returning the top-k most relevant texts with relevance scores. Accepts a text query a...
🤖 Model
yxzwayne/bge-reranker-v2-gemma
Score relevance between queries and passages for retrieval re-ranking. Accept a JSON string containing one or many [quer...
🤖 Model
zsxkib/embedding-gemma-300m
Convert text into 128–768-dimensional embeddings for semantic search, retrieval-augmented generation (RAG), classificati...
🤖 Model
ninehills/bge-reranker-large
Re-rank text passages by scoring the relevance of text pairs. Accepts a JSON array of [query, document] string pairs and...
🤖 Model
adirik/e5-mistral-7b-instruct
Generate instruction-tuned text embeddings for documents and queries, with an optional relevance score for query–documen...
🤖 Model
adirik/multilingual-e5-large
Generate multilingual text embeddings and a relevance score from a query and a passage. Takes a text query and a text pa...
🤖 Model
danielkrejci/sentence-transformer
Compute semantic similarity scores for input sentences. Takes a list of sentences, encodes them into sentence embeddings...
🤖 Model
yorickvp/jina-embeddings-v2-base-en
Convert English text into vector embeddings for semantic search, long-document retrieval, reranking, recommendation, and...
🤖 Model
saattrupdan/multilingual-e5-large-instruct
Convert multilingual text into dense vector embeddings for retrieval and semantic search. Accept one or more texts as in...
🤖 Model
nomagick/jina-embeddings
Generate text embeddings for semantic search, information retrieval, similarity, and reranking. Accepts English text (si...
🤖 Model
1m4nt0/e5-large-v2
Convert English text to 1024-dimensional embeddings for semantic search, retrieval-augmented generation (RAG), similarit...
🤖 Model
nomagick/jina-embeddings-v2
Embed English text into dense vectors for semantic search, retrieval, reranking, recommendation, and RAG. Process long d...
🤖 Model
adirik/multilingual-e5-small
Compute multilingual text embeddings and a relevance score for a query and passage. Accepts a text passage (required) an...