{"id":19589036,"url":"https://github.com/shivankk26/nitrogpt-navigator","last_synced_at":"2026-05-05T09:31:16.088Z","repository":{"id":213160063,"uuid":"716707099","full_name":"ShivankK26/NitroGPT-Navigator","owner":"ShivankK26","description":"NitroGPT Navigator is an advanced chatbot that leverages cutting-edge technologies, including OpenAI's GPT-3.5, LangChain, and Pinecone Vector Database. 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It's designed to provide accurate and context-aware answers to any questions related to the content on routerprotocol.com.\n\n## Features\n\n- **Powered by GPT-3.5:** NitroGPT Navigator utilizes the power of OpenAI's latest language model to generate human-like responses.\n- **LangChain Integration:** LangChain enhances linguistic capabilities, enabling a more nuanced understanding of user queries.\n- **Vector Embeddings:** Using a Large Language Model from HuggingFace, all-MiniLM-L6-V2, to convert Text to Numeric form for generating Vector Embeddings.\n- **Pinecone Vector Database:** Leveraging Pinecone allows for efficient vector similarity searches, improving the accuracy of information retrieval.\n\n## How It Works\n\nNitroGPT Navigator operates by processing user queries through a multi-layered approach:\n\n1. **User Input:** Users submit questions related to routerprotocol.com.\n2. **LangChain Processing:** LangChain parses and understands the user's query, extracting key information.\n3. **Vector Search with Pinecone:** Pinecone performs vector searches to identify relevant content.\n4. **GPT-3.5 Response Generation:** OpenAI's GPT-3.5 generates context-aware responses based on the extracted information.\n\n## Installation\n\nTo run NitroGPT Navigator locally, follow these steps:\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/ShivankK26/NitroGPT-Navigator.git\n   cd NitroGPT Navigator\n   ```\n\n2. Install dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n3. Set up API keys:\n   - Obtain API keys for OpenAI, Hugging Face, and Pinecone.\n   - Add these keys to the corresponding configuration files.\n\n4. Run the application:\n   ```bash\n   streamlit run app.py\n   ```\n\n## Usage\n\nOnce the application is running, users can interact with RouterBot by asking questions related to routerprotocol.com. The chatbot will provide informative and context-aware responses.\n\nExample:\n```bash\nWhat is Router Nitro?\n```\n\n## Contributing\n\nContributions are welcome! If you have ideas for improvements, bug fixes, or new features, feel free to open an issue or submit a pull request.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshivankk26%2Fnitrogpt-navigator","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshivankk26%2Fnitrogpt-navigator","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshivankk26%2Fnitrogpt-navigator/lists"}