{"id":18183631,"url":"https://github.com/teddylee777/easy-pdf-rag","last_synced_at":"2025-06-21T15:03:52.531Z","repository":{"id":260745588,"uuid":"882230166","full_name":"teddylee777/easy-pdf-rag","owner":"teddylee777","description":"This is an example of implementing the RAG feature based on OpenAI Assistant V2 and Anthropic's PDF feature.","archived":false,"fork":false,"pushed_at":"2024-11-02T10:28:06.000Z","size":408,"stargazers_count":7,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-21T00:21:48.504Z","etag":null,"topics":["anthropic","openai","rag","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/teddylee777.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2024-11-02T08:41:41.000Z","updated_at":"2024-11-07T05:18:38.000Z","dependencies_parsed_at":"2024-11-02T09:26:18.783Z","dependency_job_id":"03488e44-adc9-425e-8703-a6c898933889","html_url":"https://github.com/teddylee777/easy-pdf-rag","commit_stats":null,"previous_names":["teddylee777/easy-pdf-rag"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teddylee777%2Feasy-pdf-rag","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teddylee777%2Feasy-pdf-rag/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teddylee777%2Feasy-pdf-rag/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teddylee777%2Feasy-pdf-rag/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/teddylee777","download_url":"https://codeload.github.com/teddylee777/easy-pdf-rag/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238673876,"owners_count":19511550,"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":["anthropic","openai","rag","streamlit"],"created_at":"2024-11-02T20:03:40.713Z","updated_at":"2025-02-13T14:36:31.760Z","avatar_url":"https://github.com/teddylee777.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## EASY PDF RAG\n\nOpenAI Assistant V2 와 Anthropic 의 PDF 기능을 기반으로 RAG 기능을 구현한 예제입니다.\n\n- made by [테디노트](https://www.youtube.com/c/teddynote)\n\n\u003e Anthropic PDF 기능 예시\n\n![anthropic-pdf](./assets/anthropic.png)\n\n\u003e OpenAI Assistant V2 예시\n\n![openai-assistant](./assets/openai.png)\n\n### YouTube 튜토리얼\n\n아래의 영상을 시청하시면서 따라서 진행하세요.\n\n[![설명 영상](https://img.youtube.com/vi/JVBXekOaKJw/0.jpg)](https://youtu.be/JVBXekOaKJw)\n\n### 설치\n\n\u003e poetry 사용(권장)\n```bash\npoetry shell\npoetry update\n```\n\n\u003e conda 사용\n```bash\nconda create -n easy-pdf-rag python=3.11\nconda activate easy-pdf-rag\npip install -r requirements.txt\n```\n\n### 실습파일\n\n**Jupyter Notebook**\n- [OpenAI-Assistant-V2](https://github.com/teddylee777/easy-pdf-rag/blob/main/01-OpenAI-Assistant-V2.ipynb)\n- [Anthropic-PDF](https://github.com/teddylee777/easy-pdf-rag/blob/main/02-Anthropic-PDF-Parsing.ipynb)\n\n**Google Colab**\n- [OpenAI-Assistant-V2](https://colab.research.google.com/github/teddylee777/easy-pdf-rag/blob/main/01-OpenAI-Assistant-V2.ipynb)\n- [Anthropic-PDF](https://colab.research.google.com/github/teddylee777/easy-pdf-rag/blob/main/02-Anthropic-PDF-Parsing.ipynb)\n\n### Streamlit 실행\n\n```bash\nstreamlit run main.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteddylee777%2Feasy-pdf-rag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fteddylee777%2Feasy-pdf-rag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteddylee777%2Feasy-pdf-rag/lists"}