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Works with Gemma2-9b via Groq API**\n\n## Features\n- Langchain AI RAG Chatbot\n- HuggingFace Embeddings - all-MiniLM-L6-v2\n- Gemma2-9b-It via Groq API\n- Chroma DB Vector Store\n- Streamlit for interactive data fullstack apps\n\n## Demo\n[rag.webm](https://github.com/user-attachments/assets/1c3a3795-ed3c-4703-9aa8-27c2f90b4c34)\n\n\n## Installing:\n**1. Clone this repo to your folder:**\n\n```\ngit clone THIS REPO\n```\n\n**2. Create a virtual environment**\n\n**3. Install the dependencies**\n\n```\npip install -r requirements.txt\n```\n**3. Run the app**\n\n```\nstreamlit run app.py\n```\n\n[Extrawest.com](https://www.extrawest.com), 2024\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fextrawest%2Fconversational_rag_pdf","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fextrawest%2Fconversational_rag_pdf","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fextrawest%2Fconversational_rag_pdf/lists"}