🤖 Model
lucataco/nomic-embed-text-v1
Convert text into vector embeddings for semantic search, retrieval-augmented generation, clustering, and classification....
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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
Ranks and scores query-document pairs using BAAI's newest balance-striking reranker model. Takes JSON input containing q...
🤖 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
Reranks query-document pairs by computing relevance scores between questions and answers. Takes JSON input containing tu...
🤖 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
Reranks text pairs by computing relevance scores between query-document pairs. Takes JSON input containing pairs of text...
🤖 Model
yxzwayne/jina-reranker-v1-turbo-en
Reranks documents based on their relevance to a search query. Takes a query string and a list of documents as input, the...
🤖 Model
yxzwayne/bge-reranker-v2-gemma
Calculates relevance and similarity scores between text pairs. Takes JSON-formatted input containing query-passage pairs...
🤖 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
Reranks pairs of text inputs by computing relevance scores between them. Takes JSON-formatted text pairs as input and re...
🤖 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...