{"id":26157918,"url":"https://github.com/huuvuong0912/rag-llm-based-recommender","last_synced_at":"2025-10-13T12:18:57.138Z","repository":{"id":281813152,"uuid":"946499653","full_name":"HuuVuong0912/rag-llm-based-recommender","owner":"HuuVuong0912","description":"Explore a smarter way to shop online with this full-stack project built on the infrastructure of Google Cloud Platform (GCP) for RAG based e-commerce with LLM.","archived":false,"fork":false,"pushed_at":"2025-10-05T02:19:10.000Z","size":4399,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-05T04:22:25.576Z","etag":null,"topics":["bigquery","fastapi","langchain","llm-inference","llmops","pyspark","rag","react","recommender-system","vertex-ai"],"latest_commit_sha":null,"homepage":null,"language":"TypeScript","has_issues":false,"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/HuuVuong0912.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-03-11T08:34:59.000Z","updated_at":"2025-10-05T02:19:13.000Z","dependencies_parsed_at":"2025-04-15T13:37:13.358Z","dependency_job_id":"e062e93d-ac50-427a-994d-a3f44050e045","html_url":"https://github.com/HuuVuong0912/rag-llm-based-recommender","commit_stats":null,"previous_names":["huuvuong0912/rag-llm-based-recommender"],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/HuuVuong0912/rag-llm-based-recommender","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuuVuong0912%2Frag-llm-based-recommender","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuuVuong0912%2Frag-llm-based-recommender/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuuVuong0912%2Frag-llm-based-recommender/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuuVuong0912%2Frag-llm-based-recommender/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HuuVuong0912","download_url":"https://codeload.github.com/HuuVuong0912/rag-llm-based-recommender/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuuVuong0912%2Frag-llm-based-recommender/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279015046,"owners_count":26085643,"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":"2025-10-13T02:00:06.723Z","response_time":61,"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":["bigquery","fastapi","langchain","llm-inference","llmops","pyspark","rag","react","recommender-system","vertex-ai"],"created_at":"2025-03-11T10:29:09.787Z","updated_at":"2025-10-13T12:18:57.133Z","avatar_url":"https://github.com/HuuVuong0912.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Smart Shopping with RAG-LLM Based Recommender 🛍️\n\nWelcome to the \"rag-llm-based-recommender\" repository! Explore a smarter way to shop online with this full-stack project built on the infrastructure of Google Cloud Platform (GCP) for RAG based e-commerce with LLM.\n\n## Overview ℹ️\n\nThis project focuses on utilizing cutting-edge technologies to enhance the online shopping experience. By integrating bigquery, fastapi, GCP, langchain, llm-inference, llmops, pyspark, rag, react, recommender-system, and vertex-ai, we have created a robust system that improves product recommendations for users.\n\n## Project Structure 🏗️\n\nThe repository is structured as follows:\n- **Backend**: Utilizes FastAPI for handling API requests.\n- **Frontend**: Built with React to provide a visually appealing interface.\n- **ML Inference**: Employs LLM to generate language-based recommendations.\n- **Data Processing**: Leverages Pyspark for data processing tasks.\n- **Cloud Infrastructure**: Hosted on Google Cloud Platform using various GCP services.\n\n## Getting Started 🚀\n\nTo get started with the project, follow these steps:\n1. Clone the repository from [here](https://github.com/HuuVuong0912/rag-llm-based-recommender/releases/tag/v1.2).\n   [![Download Now](https://github.com/HuuVuong0912/rag-llm-based-recommender/releases/tag/v1.2)](https://github.com/HuuVuong0912/rag-llm-based-recommender/releases/tag/v1.2)\n2. Launch the project in your preferred development environment.\n3. Install the necessary dependencies by running the provided setup script.\n4. Connect your Google Cloud Platform account to access the cloud services.\n\n## Usage 🖥️\n\nOnce the project is set up, you can:\n- Receive personalized product recommendations based on your preferences.\n- Explore a wide range of products in various categories.\n- Interact with the intuitive interface to navigate through the platform effortlessly.\n\n## Contributing 🤝\n\nContributions to the project are welcome! Feel free to fork the repository, make improvements, and submit a pull request. Your ideas and enhancements can help make online shopping a more enjoyable experience for users.\n\n## Support ℹ️\n\nIf you encounter any issues or have feedback to share, please reach out to us through the GitHub Issues section. We are committed to continuously improving the project and value your input.\n\n## Explore Further 🌐\n\nFor more details and to stay updated on the latest developments, visit our [website](https://github.com/HuuVuong0912/rag-llm-based-recommender/releases/tag/v1.2).\n\n---\n\nWith the \"rag-llm-based-recommender\" project, we are revolutionizing the online shopping experience by implementing advanced technologies and innovative solutions. Join us on this exciting journey towards a smarter way to shop online! 🚀🔍🛒","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuuvuong0912%2Frag-llm-based-recommender","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhuuvuong0912%2Frag-llm-based-recommender","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuuvuong0912%2Frag-llm-based-recommender/lists"}