{"id":27012065,"url":"https://github.com/natgluons/rag-chatbot","last_synced_at":"2026-04-28T20:03:16.230Z","repository":{"id":255413326,"uuid":"849527534","full_name":"natgluons/RAG-Chatbot","owner":"natgluons","description":"OpenAI chatbot with Retrieval-Augmented Generation (RAG) to enhance responses with relevant information from provided documents","archived":false,"fork":false,"pushed_at":"2025-03-28T19:10:17.000Z","size":1347,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T20:24:05.285Z","etag":null,"topics":["chatbot","gpt-3-5-turbo","keyword-extraction","kubernetes-deployment","nlp","rag","retrieval-augmented-generation","retrieve-data"],"latest_commit_sha":null,"homepage":"","language":"Python","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/natgluons.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":"2024-08-29T18:45:13.000Z","updated_at":"2025-03-28T19:10:20.000Z","dependencies_parsed_at":"2024-08-29T21:34:47.117Z","dependency_job_id":"ed0b52a9-e834-469c-8492-cc7453850105","html_url":"https://github.com/natgluons/RAG-Chatbot","commit_stats":null,"previous_names":["natgluons/rag-chatbot"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/natgluons/RAG-Chatbot","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/natgluons%2FRAG-Chatbot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/natgluons%2FRAG-Chatbot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/natgluons%2FRAG-Chatbot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/natgluons%2FRAG-Chatbot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/natgluons","download_url":"https://codeload.github.com/natgluons/RAG-Chatbot/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/natgluons%2FRAG-Chatbot/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32396781,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T19:38:08.556Z","status":"ssl_error","status_checked_at":"2026-04-28T19:37:55.688Z","response_time":56,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["chatbot","gpt-3-5-turbo","keyword-extraction","kubernetes-deployment","nlp","rag","retrieval-augmented-generation","retrieve-data"],"created_at":"2025-04-04T11:47:42.391Z","updated_at":"2026-04-28T20:03:16.210Z","avatar_url":"https://github.com/natgluons.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# OpenAI Chatbot with RAG (Retrieval-Augmented Generation): Retrieve Information from CV\n\n## Overview\nThis project is an OpenAI-powered chatbot that uses Retrieval-Augmented Generation (RAG) to enhance responses with relevant information from provided documents. The chatbot is deployed using Docker and Kubernetes, and it's designed to be accessed via a web interface.\n\n## Features\n- Natural Language Processing: Utilizes OpenAI's GPT-3.5 model to generate responses.\n- Document Retrieval: Enhances responses by retrieving relevant information from a set of documents stored in the `knowledge_sources` folder.\n- Web Interface: Provides a simple web interface for user interaction.\n- Dockerized Deployment: Containerized using Docker for easy deployment.\n- Kubernetes: Supports deployment on Kubernetes for scalable and reliable service.\n\n## Requirements\n- Python 3.9+\n- Flask==2.0.3\n- Werkzeug==2.0.3\n- openai==1.38.0\n- sqlalchemy==1.4.25\n- python-dotenv==1.0.1\n- PyPDF2==3.0.1\n- pandas==2.2.0\n- scikit-learn==1.5.0\n- Docker\n- Kubernetes\n\n## Access the Web Interface\nOpen your browser and navigate to `http://34.71.245.123/` to interact with the chatbot. Ask anything related to my CV, background, professional, and academic experience. This is the minimum viable product (MVP) under development; the final version will be hosted on a domain website, to be announced later.\n\n*this service is currently offline due to cost considerations (Why does Kubernetes cost so much!?)\n\n![ragchatbot](https://github.com/user-attachments/assets/bfe0bd46-fe7d-42dd-a868-d8f5831fa142)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnatgluons%2Frag-chatbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnatgluons%2Frag-chatbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnatgluons%2Frag-chatbot/lists"}