{"id":18425219,"url":"https://github.com/shubh-bharadwaj/rag-chatbot","last_synced_at":"2026-05-03T05:44:50.760Z","repository":{"id":261179978,"uuid":"883511704","full_name":"Shubh-Bharadwaj/RAG-Chatbot","owner":"Shubh-Bharadwaj","description":null,"archived":false,"fork":false,"pushed_at":"2024-11-05T05:27:37.000Z","size":72,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-16T08:14:59.810Z","etag":null,"topics":["chatbot","generative-ai","langchain","python3","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/Shubh-Bharadwaj.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":"2024-11-05T05:01:47.000Z","updated_at":"2024-11-05T05:29:14.000Z","dependencies_parsed_at":"2024-11-05T06:18:40.401Z","dependency_job_id":"be6e0317-8d94-4db6-ad27-8daf519f1b2b","html_url":"https://github.com/Shubh-Bharadwaj/RAG-Chatbot","commit_stats":null,"previous_names":["shubh-bharadwaj/rag-chatbot"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shubh-Bharadwaj%2FRAG-Chatbot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shubh-Bharadwaj%2FRAG-Chatbot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shubh-Bharadwaj%2FRAG-Chatbot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shubh-Bharadwaj%2FRAG-Chatbot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Shubh-Bharadwaj","download_url":"https://codeload.github.com/Shubh-Bharadwaj/RAG-Chatbot/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248758451,"owners_count":21156957,"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":["chatbot","generative-ai","langchain","python3","retrieval-augmented-generation"],"created_at":"2024-11-06T05:03:04.036Z","updated_at":"2026-05-03T05:44:50.734Z","avatar_url":"https://github.com/Shubh-Bharadwaj.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🤖📚 RAG Chatbot Project\nWelcome to the Retrieval-Augmented Generation (RAG) Chatbot project! This project is designed to build a chatbot that can respond accurately to queries using information from your documents and data sources, rather than solely relying on pre-trained knowledge.\n\n**🚀 Project Overview**\n\nThis project explores two main topics:\n\n**- Retrieval Augmented Generation (RAG):** This powerful application retrieves contextual documents from an external dataset to enhance response quality and relevance.\n\n**- Chatbot Development:** Build a custom chatbot that generates responses based on the information within your specific documents and data sources.\n\n**📂 Project Structure**\n\n**- Data Loading:** Scripts and utilities for loading documents using LangChain’s loaders.\n\n**- Data Splitting:** Code to handle document splitting and preprocessing.\n\n**- Vector Store:** Scripts for embedding documents and storing vectors for efficient retrieval.\n\n**- Retrieval:** Code for querying and accessing relevant data from the vector store.\n\n**- Chatbot:** Main logic for conversational flow and handling user interactions.\n\n**🛠️ Technologies \u0026 Tools Used**\n\n**- LangChain:** Framework for creating LLM applications with powerful data handling capabilities.\n\n**- Python Libraries:** For building the chatbot and managing data flow.\n\n**- Vector Stores:** Essential for embeddings and effective retrieval of contextual data.\n\n## Note\nThe chatbot is designed to interact with _machinelearning-lecture01.pdf_, answering questions based on its introductory machine learning content. However, you can also upload your own documents to personalize the chatbot’s responses to your unique data sources.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshubh-bharadwaj%2Frag-chatbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshubh-bharadwaj%2Frag-chatbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshubh-bharadwaj%2Frag-chatbot/lists"}