{"id":28858197,"url":"https://github.com/264gaurav/rag-app","last_synced_at":"2026-04-05T21:04:49.959Z","repository":{"id":300041931,"uuid":"1005026013","full_name":"264Gaurav/RAG-app","owner":"264Gaurav","description":"RAG and basic chatbot application using langchain , langgraph and langsmith frameworks/tool.","archived":false,"fork":false,"pushed_at":"2025-06-19T15:16:53.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-19T15:44:33.560Z","etag":null,"topics":["7b","ai","aimodel","chatbot","deepseek-r1","gemini","langchian","langgr","langsmith","langsmithapi","ollama","python27","rag","rag-chatbot","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/264Gaurav.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":"2025-06-19T14:47:39.000Z","updated_at":"2025-06-19T15:16:56.000Z","dependencies_parsed_at":"2025-06-19T15:54:57.150Z","dependency_job_id":null,"html_url":"https://github.com/264Gaurav/RAG-app","commit_stats":null,"previous_names":["264gaurav/rag-app"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/264Gaurav/RAG-app","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/264Gaurav%2FRAG-app","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/264Gaurav%2FRAG-app/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/264Gaurav%2FRAG-app/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/264Gaurav%2FRAG-app/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/264Gaurav","download_url":"https://codeload.github.com/264Gaurav/RAG-app/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/264Gaurav%2FRAG-app/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":260862913,"owners_count":23074182,"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":["7b","ai","aimodel","chatbot","deepseek-r1","gemini","langchian","langgr","langsmith","langsmithapi","ollama","python27","rag","rag-chatbot","streamlit"],"created_at":"2025-06-20T02:05:41.574Z","updated_at":"2025-12-30T22:29:12.219Z","avatar_url":"https://github.com/264Gaurav.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RAG-app\n\nRAG (Retrieval-Augmented Generation) and basic chatbot application built using the LangChain, LangGraph, and LangSmith frameworks/tools.\n\n## Features\n\n- **Retrieval-Augmented Generation (RAG):** Combines retrieval techniques with generative AI to provide accurate and context-aware responses.\n- **Chatbot Functionality:** Interactive chatbot powered by LangChain and LangGraph for seamless communication.\n- **Modular Frameworks:** Utilizes LangSmith for advanced debugging and monitoring of AI workflows.\n- **Streamed Responses:** Supports streaming responses for real-time interaction.\n\n## Technologies Used\n\n- **LangChain:** Framework for building applications with LLMs (Large Language Models).\n- **LangGraph:** Tool for managing and executing complex workflows with AI agents.\n- **LangSmith:** Framework for debugging and monitoring AI workflows.\n- **Python:** Core programming language for the application.\n\n## Installation\n\n1. Clone the repository:\n\n```bash\ngit clone https://github.com/your-username/RAG-app.git\ncd RAG-app\n```\n\n2. Create a virtual environment:\n\n```bash\npython3 -m venv venv\nsource venv/bin/activate\n```\n\n3. Install dependencies:\n\n```bash\npip install -r requirements.txt\n```\n\n4. Ensure the Ollama server is running and the required models (e.g., deepseek-coder) are available.\n\n## Usage\n\n1. Start the chatbot application:\n\n```bash\npython chatbot.py\n```\n\n2. Interact with the chatbot by typing your queries in the terminal.\n\n3. To exit the chatbot, type quit.\n\n---\n\n# Environment Variables\n\n## Ensure the following environment variables are set.\n\n1. create .env file and insert these important key-values in that:\n\n   OPENAI_API_KEY=sk-your-openai-key-here\n\n   GOOGLE_API_KEY=your-gemini-api-key\n\n### add any other secrets below\n\n    LANGSMITH_API_KEY=your-langsmith-key\n\n    LANGCHAIN_ENDPOINT=\"https://api.smith.langchain.com\"\n\n    export LANGSMITH_TRACING=true\n\n    export LANGSMITH_API_KEY=your-langsmith-key\n\n### (If you also use Ollama/OpenAI, set their keys as well)\n\n    export OLLAMA_API_KEY=\"your_ollama_api_key\"\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F264gaurav%2Frag-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F264gaurav%2Frag-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F264gaurav%2Frag-app/lists"}