cuuupid/e5-mistral-7b-instruct
Generate text embeddings for semantic search, retrieval, clustering, and reranking. Accepts batches of texts and returns...
Found 31 models (showing 21-31)
Generate text embeddings for semantic search, retrieval, clustering, and reranking. Accepts batches of texts and returns...
Generate sentence embeddings from one or multiple text inputs. Return dense vector representations for semantic search,...
Convert text in many languages into vector embeddings for cross-lingual semantic search and retrieval. Accept a list of...
Generate multilingual text embeddings and a queryβpassage relevance score from text input. Accepts a query and a passage...
Generate dense text embeddings from a JSONL dataset for semantic search, retrieval, and RAG workflows. Accept a JSONL fi...
Rerank text passages for a query by scoring text pairs and returning relevance scores. Accept a JSON list of (query, doc...
Convert text into dense vector embeddings for semantic search and retrieval. Generate sentence and paragraph embeddings...
Embed text into dense vectors for semantic search, retrieval/reranking, clustering, classification, recommendations, and...
Convert English text into dense vector embeddings. Accepts lists of text strings and returns normalized embeddings for s...
Convert text into dense vector embeddings for semantic search, similarity, clustering, classification, and retrieval-aug...
Convert text into 768-dimensional embeddings for semantic search, retrieval, clustering, and similarity matching. Accept...