{"id":21901342,"url":"https://github.com/patw/breadvec","last_synced_at":"2025-04-15T20:12:53.445Z","repository":{"id":227934156,"uuid":"772756861","full_name":"patw/BreadVec","owner":"patw","description":"Text vectorizer using a SOTA mixedbread.ai embedding model","archived":false,"fork":false,"pushed_at":"2024-03-18T15:22:56.000Z","size":5,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-15T20:12:47.273Z","etag":null,"topics":["cosine-similarity","mixedbread","vectors"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/patw.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2024-03-15T20:44:27.000Z","updated_at":"2024-04-08T11:25:42.000Z","dependencies_parsed_at":"2024-03-18T16:59:07.396Z","dependency_job_id":null,"html_url":"https://github.com/patw/BreadVec","commit_stats":null,"previous_names":["patw/breadvec"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/patw%2FBreadVec","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/patw%2FBreadVec/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/patw%2FBreadVec/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/patw%2FBreadVec/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/patw","download_url":"https://codeload.github.com/patw/BreadVec/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249145418,"owners_count":21219966,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cosine-similarity","mixedbread","vectors"],"created_at":"2024-11-28T15:13:14.338Z","updated_at":"2025-04-15T20:12:53.420Z","avatar_url":"https://github.com/patw.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# BreadVec\n\nA small vector API service for generating mixedbred.ai vectors.  It's currently using the mxbai-embed-large-v1 model.\n\n## Local Installation\n\n```\npip install -r requirements.txt\n```\n\n## Local Running\n\n```\nuvicorn main:app --host 0.0.0.0 --port 3006\n```\n\n**Warning**: The first run will be VERY slow to load\n\nVisit `http://localhost:3006/docs` in a browser once it's loaded\n\nCall it in python like this:\n\n```\n# Function to call the text embedder\ndef embed(text):\n    response = requests.get(embedder[\"embedding_endpoint\"], params={\"text\":text, \"instruction\": \"Represent this text for retrieval:\" }, headers={\"accept\": \"application/json\"})\n    vector_embedding = response.json()\n    return vector_embedding\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpatw%2Fbreadvec","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpatw%2Fbreadvec","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpatw%2Fbreadvec/lists"}