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As a result you need to specify an OPENAI_API_KEY in an .env file in this directory.\n\nExample .env file:\n\n    OPENAI_API_KEY=\u003copenai_api_key\u003e\nSecond, generate the embeddings of the documents in the ./data directory (if this folder exists - otherwise, skip this step):\n\n    python app/engine/generate.py\n\"To genrate Embedding and for more further information about vector search index ---------See https://github.com/run-llama/mongodb-demo/tree/main?tab=readme-ov-file#create-a-vector-search-index\n\n    \nThird, run the development server:\n\n    python main.py\nThen call the API endpoint /api/chat to see the result:\n\n    curl --location 'localhost:8000/api/chat' \\\n    --header 'Content-Type: application/json' \\\n    --data '{ \"messages\": [{ \"role\": \"user\", \"content\": \"Hello\" }] }'\n    You can start editing the API by modifying app/api/routers/chat.py. The endpoint auto-updates as you save the file.\n\nOpen http://localhost:8000/docs with your browser to see the Swagger UI of the API.\n\nThe API allows CORS for all origins to simplify development. You can change this behavior by setting the ENVIRONMENT environment variable to prod:\n\n    ENVIRONMENT=prod uvicorn main:app\nLearn More\nTo learn more about LlamaIndex, take a look at the following resources:\n\nLlamaIndex Documentation - learn about LlamaIndex.\nYou can check out the LlamaIndex GitHub repository - your feedback and contributions are welcome!\n\n\n\n\n\n\n\nFrontend 🔗🔗:\n\n\nGetting Started----------------------------\nFirst, install the dependencies:\n\n    npm install\nSecond, run the development server:\n\n    npm run dev\n    Open http://localhost:3000 with your browser to see the result.\n\nYou can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.\n\nThis project uses next/font to automatically optimize and load Inter, a custom Google Font.\n\nLearn More\nTo learn more about LlamaIndex, take a look at the following resources:\n\nLlamaIndex Documentation - learn about LlamaIndex (Python features).\nLlamaIndexTS Documentation - learn about LlamaIndex (Typescript features).\nYou can check out the LlamaIndexTS GitHub repository - your feedback and contributions are welcome!\n\n\n                         \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmimansha11%2Fllamaindex-rag-chatbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmimansha11%2Fllamaindex-rag-chatbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmimansha11%2Fllamaindex-rag-chatbot/lists"}