{"id":21407158,"url":"https://github.com/daveshap/literaturereviewbot","last_synced_at":"2025-09-08T18:32:56.699Z","repository":{"id":131191617,"uuid":"541174785","full_name":"daveshap/LiteratureReviewBot","owner":"daveshap","description":"Experiment to use GPT-3 to help write grant proposals.","archived":false,"fork":false,"pushed_at":"2022-09-27T10:41:48.000Z","size":7780,"stargazers_count":48,"open_issues_count":0,"forks_count":13,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-09-08T18:32:09.119Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":false,"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/daveshap.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,"publiccode":null,"codemeta":null}},"created_at":"2022-09-25T13:08:36.000Z","updated_at":"2025-03-14T01:42:57.000Z","dependencies_parsed_at":"2023-04-25T11:48:05.091Z","dependency_job_id":null,"html_url":"https://github.com/daveshap/LiteratureReviewBot","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/daveshap/LiteratureReviewBot","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daveshap%2FLiteratureReviewBot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daveshap%2FLiteratureReviewBot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daveshap%2FLiteratureReviewBot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daveshap%2FLiteratureReviewBot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/daveshap","download_url":"https://codeload.github.com/daveshap/LiteratureReviewBot/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daveshap%2FLiteratureReviewBot/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274229373,"owners_count":25245188,"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","status":"online","status_checked_at":"2025-09-08T02:00:09.813Z","response_time":121,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2024-11-22T16:44:52.328Z","updated_at":"2025-09-08T18:32:56.689Z","avatar_url":"https://github.com/daveshap.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Literature Review Bot\n\n## Setup\n\n### Docker and Qdrant\n\n1. Download and setup Docker and/or Docker Desktop\n2. Pull the Qdrant container and run it: `docker run -p 6333:6333 -v ./qdrant_storage:/qdrant/storage qdrant/qdrant`\n\n### Download arXiv metadata from Kaggle\n\n1. https://www.kaggle.com/datasets/Cornell-University/arxiv\n\nOr download my processed data directly (but it is out of date)\n\n1. https://www.kaggle.com/datasets/ltcmdrdata/arxiv-embeddings (I will not be maintaining this)\n\n### Process data\n\n1. Run `generate_embeddings.py` to fill up `embeddings` folder (you may need to create this folder first)\n2. Fire up Qdrant if its not already running\n3. Run `index_arxiv_metadata.py` to upload embeddings to Qdrant\n4. Run `search_server.py` and go to http://127.0.0.1 to search for your articles\n5. Download the PDFs you want from arXiv into th `PDFs` folder\n6. Run `generate_literature_review.py` to create your final literature review","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaveshap%2Fliteraturereviewbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdaveshap%2Fliteraturereviewbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaveshap%2Fliteraturereviewbot/lists"}