{"id":19804051,"url":"https://github.com/aasherkamal216/devsinc-rag-chatbot","last_synced_at":"2025-05-01T05:31:21.753Z","repository":{"id":256388244,"uuid":"853107098","full_name":"aasherkamal216/Devsinc-RAG-Chatbot","owner":"aasherkamal216","description":"A streamlit app that uses Langchain and LangGraph to explore different RAG techniques.","archived":false,"fork":false,"pushed_at":"2024-11-11T16:34:59.000Z","size":2413,"stargazers_count":2,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-06T09:12:34.788Z","etag":null,"topics":["ai","chatbot","groq","langchain","langgraph","llama3","rag"],"latest_commit_sha":null,"homepage":"https://rag-techniques-chatbot.streamlit.app/","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/aasherkamal216.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":"2024-09-06T02:21:33.000Z","updated_at":"2025-02-02T09:31:01.000Z","dependencies_parsed_at":null,"dependency_job_id":"5f053774-ee71-4d21-b3c2-4e51c7e187f6","html_url":"https://github.com/aasherkamal216/Devsinc-RAG-Chatbot","commit_stats":null,"previous_names":["aasherkamal216/devsinc-rag-chatbot"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aasherkamal216%2FDevsinc-RAG-Chatbot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aasherkamal216%2FDevsinc-RAG-Chatbot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aasherkamal216%2FDevsinc-RAG-Chatbot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aasherkamal216%2FDevsinc-RAG-Chatbot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aasherkamal216","download_url":"https://codeload.github.com/aasherkamal216/Devsinc-RAG-Chatbot/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251830449,"owners_count":21650802,"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":["ai","chatbot","groq","langchain","langgraph","llama3","rag"],"created_at":"2024-11-12T08:02:43.542Z","updated_at":"2025-05-01T05:31:21.748Z","avatar_url":"https://github.com/aasherkamal216.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Devsinc RAG Chatbot\n\nThis Streamlit application demonstrates various Retrieval-Augmented Generation (RAG) techniques using the Devsinc AI Assistant.\nIt provides an interactive interface to explore different RAG methods and their applications in question-answering tasks.\n\n![Image](assets/devsinc.jpg)\n\n## ⚡Features\n\n- Interactive chat interface with AI assistant\n- Multiple RAG techniques and types implemented:\n  - Naive RAG\n  - Multi-Query Perspective\n  - Hypothetical Document Embeddings (HyDE)\n  - Reranker\n  - Reciprocal Rank Fusion\n  - Self-RAG\n  - Corrective RAG\n  - Agentic RAG\n  - Adaptive RAG\n- LLM selection option\n- Vector store integration using FAISS\n\n## Getting Started\n\n1. **Clone the repository:**\n   ```\n   git clone https://github.com/aasherkamal216/Devsinc-RAG-Chatbot.git\n   cd Devsinc-RAG-Chatbot\n   ```\n2. **Set Up a Virtual Environment:**\n```\npython -m venv venv\nvenv\\Scripts\\activate\n```\n3. **Install the required dependencies:**\n   ```\n   pip install -r requirements.txt\n   ```\n4. **Get your API key:**\n   - [Groq API key](https://console.groq.com/keys)\n   - [Cohere API key](https://dashboard.cohere.com/api-keys)\n   \n5. **Set up environment variables:**\n   Create a `.env` file in the root directory and add the following:\n   ```\n   COHERE_API_KEY=your_cohere_api_key\n   GROQ_API_KEY=your_groq_api_key\n   ```\n\n6. **Running the App**\n\nRun the Streamlit app:\n```\nstreamlit run app.py\n```\nYour app should now be running at `http://localhost:8501`\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faasherkamal216%2Fdevsinc-rag-chatbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faasherkamal216%2Fdevsinc-rag-chatbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faasherkamal216%2Fdevsinc-rag-chatbot/lists"}