{"id":30443442,"url":"https://github.com/0xchron/rag-chatbot-assistant","last_synced_at":"2026-04-18T00:31:37.798Z","repository":{"id":294010911,"uuid":"984861145","full_name":"0xChron/rag-chatbot-assistant","owner":"0xChron","description":"Retrieval Augmented Generation (RAG) based chatbot template","archived":false,"fork":false,"pushed_at":"2025-08-10T16:20:35.000Z","size":17,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-10T18:15:54.184Z","etag":null,"topics":["chatbot","embeddings","langchain","llm","retrieval-augmented-generation"],"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/0xChron.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,"zenodo":null}},"created_at":"2025-05-16T16:23:26.000Z","updated_at":"2025-08-10T16:20:38.000Z","dependencies_parsed_at":"2025-05-18T13:39:17.712Z","dependency_job_id":"758df51b-c93d-4ce0-9e5e-431294b00885","html_url":"https://github.com/0xChron/rag-chatbot-assistant","commit_stats":null,"previous_names":["aaroncanillas/rag-chatbot-assistant","0xchron/rag-chatbot-assistant"],"tags_count":0,"template":true,"template_full_name":null,"purl":"pkg:github/0xChron/rag-chatbot-assistant","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xChron%2Frag-chatbot-assistant","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xChron%2Frag-chatbot-assistant/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xChron%2Frag-chatbot-assistant/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xChron%2Frag-chatbot-assistant/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/0xChron","download_url":"https://codeload.github.com/0xChron/rag-chatbot-assistant/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xChron%2Frag-chatbot-assistant/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":271746301,"owners_count":24813557,"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":"2025-08-23T02:00:09.327Z","response_time":69,"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":["chatbot","embeddings","langchain","llm","retrieval-augmented-generation"],"created_at":"2025-08-23T09:12:04.167Z","updated_at":"2026-04-18T00:31:37.385Z","avatar_url":"https://github.com/0xChron.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RAG AI Chatbot\n\nA starter template for a Retrieval-Augmented Generation (RAG) chatbot that leverages PDF files as its primary knowledge source. Designed for easy setup, customization, and future expansion. Click the `Use this template` button on the upper right corner of this repository to use this sample template.\n\n## Table of Contents\n- [Installation](#installation)\n- [Usage](#usage)\n- [Features](#features)\n- [Project Structure](#project-structure)\n- [Future Enhancements](#future-enhancements)\n\n## Installation\n1. Clone the repo:\n```\ngit clone https://github.com/0xChron/rag-chatbot-assistant.git\ncd rag-chatbot-assistant\n```\n\n2. Create .env file and input your own configuration:\n```\ncp .env.sample .env\n```\n\n3. Create and activate a virtual environment (recommended):\n```\npython -m venv venv\nsource venv/bin/activate    # On Windows use `venv\\Scripts\\activate`\n```\n\n4. Install dependencies:\n```\npip install -r requirements.txt\n```\n\n## Usage \n\n1. Create a folder named `data/` and place your PDF documents there.\n\n2. Ingest documents using:\n```\npython ingest.py\n```\n\n3. Start the chatbot:\n\n```\npython main.py\n```\n\n4. You can modify settings in `config.py` file 👽\n\n## Features\n- 📄 Support PDF document ingestion\n- 🧠 RAG-based conversational AI\n- ⚙️ Configurable via config.py \n- 🛠️ Easy to extend for additional file types and features\n\n\n## Future enhancements\n- Additional file types support\n- Web-based UI\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F0xchron%2Frag-chatbot-assistant","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F0xchron%2Frag-chatbot-assistant","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F0xchron%2Frag-chatbot-assistant/lists"}