🤖 Model
lucataco/nomic-embed-text-v1
Convert text into vector embeddings for semantic search, retrieval, clustering, and classification. Accept a newline-sep...
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Models tagged "semantic-search"
Found 29 models (showing 1-20)
🤖 Model
lucataco/snowflake-arctic-embed-l
Convert text into 1024-dimensional embeddings for semantic search and retrieval. Takes a text prompt and returns a dense...
🤖 Model
yxzwayne/bge-reranker-v2-m3
Rerank passages for a text query. Takes a query and one or more candidate documents (text) and outputs a relevance score...
🤖 Model
mark3labs/embeddings-gte-base
Convert text into embeddings for semantic search and retrieval. Takes a text string and returns a 768-dimensional embedd...
🤖 Model
sesamo-srl/bge-reranker-v2-m3
Score relevance between text pairs for reranking search results and retrieval-augmented generation. Takes a JSON list of...
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center-for-curriculum-redesign/bge_1-5_query_embeddings
Generate text query embeddings for dense retrieval and semantic search. Accepts an array of short query strings and retu...
🤖 Model
ninehills/bge-reranker-base
Score relevance between pairs of texts to rerank search results, passages, or candidate answers. Accepts a list of text...
🤖 Model
yxzwayne/jina-reranker-v1-turbo-en
Re-rank candidate documents by relevance to an English text query. Accepts a query string and a list of documents; retur...
🤖 Model
yxzwayne/bge-reranker-v2-gemma
Score the relevance between query and passage text pairs for retrieval reranking. Accept a JSON string of one or more [q...
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zsxkib/embedding-gemma-300m
Convert text into 128–768-dimensional embeddings for semantic search, retrieval, and clustering. Accepts text input (up...
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ninehills/bge-reranker-large
Rerank text pairs by semantic relevance and output a numeric score for each pair. Accepts an array of [query, document]...
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adirik/e5-mistral-7b-instruct
Convert text into embeddings for semantic search and retrieval. Accepts a document string and optionally a query and a o...
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adirik/multilingual-e5-large
Compute semantic relevance between a query and a passage and generate multilingual text embeddings. Takes a text query a...
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danielkrejci/sentence-transformer
Rank sentences by semantic similarity to a query sentence. Accept a list of text sentences (first item as the query) and...
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yorickvp/jina-embeddings-v2-base-en
Convert English text into dense vector embeddings for semantic search, long-document retrieval, RAG, reranking, and reco...
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saattrupdan/multilingual-e5-large-instruct
Convert multilingual text into 1024-dimensional embeddings for semantic search, passage retrieval, clustering, and RAG....
🤖 Model
nomagick/jina-embeddings
Convert English text into dense vector embeddings for semantic search, information retrieval, semantic similarity, and r...
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1m4nt0/e5-large-v2
Convert English text to 1024-dimensional embeddings for semantic search, retrieval-augmented generation (RAG), similarit...
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nomagick/jina-embeddings-v2
Embed English text into dense vectors for semantic search, retrieval, reranking, recommendation, and RAG. Process long d...
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adirik/multilingual-e5-small
Compute multilingual text embeddings and a query–passage relevance score for semantic search, retrieval, and reranking....