{"schema_version":"onlylabs.public_signal.v1","title":"Replicate Repo: replicate/cog-e5-embeddings","description":"Replicate repo signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/ecc96d22-b26e-4c4e-82e0-e76edac34e9d","json_url":"https://onlylabs.fyi/signals/ecc96d22-b26e-4c4e-82e0-e76edac34e9d/signal.json","generated_at":"2026-06-11T04:09:45.475796+00:00","org":{"slug":"replicate","name":"Replicate","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/replicate","dossier_json_url":"https://onlylabs.fyi/labs/replicate/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/ecc96d22-b26e-4c4e-82e0-e76edac34e9d","signal_json":"https://onlylabs.fyi/signals/ecc96d22-b26e-4c4e-82e0-e76edac34e9d/signal.json","source":"https://github.com/replicate/cog-e5-embeddings","lab_dossier":"https://onlylabs.fyi/labs/replicate","lab_dossier_json":"https://onlylabs.fyi/labs/replicate/dossier.json","analysis":"https://onlylabs.fyi/analysis/replicate","analysis_json":"https://onlylabs.fyi/analysis/replicate/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/replicate/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Replicate published replicate/cog-e5-embeddings (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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However, given Mistral-7B-v0.1's primary training on English data, it is recommended to primarily use this model for English text processing tasks. It takes a single task definition, a query and a document to output text embeddings and also a relevancy score. For example, - *task:* \"Given a web search query, retrieve relevant passages that answer the query\" - *query:* \"What is the recommended sugar intake for women\" - *document:* \"As a general guideline, the CDC’s average recommended sugar intake for women ages 19 to 70 is 20 grams per day.\" To generate embeddings, you have the option to process a single document directly. 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