44 lines
1.8 KiB
Markdown
44 lines
1.8 KiB
Markdown
# MiniPerplx
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A minimalistic AI-powered search engine that helps you find information on the internet.
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## Features
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- **AI-powered search**: Get answers to your questions using Anthropic's Models.
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- **Web search**: Search the web using Tavily's API.
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- **URL Specific search**: Get information from a specific URL.
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- **Weather**: Get the current weather for any location using OpenWeather's API.
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- **Programming**: Run code snippets in multiple languages using E2B's API.
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## Built with
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- [Next.js](https://nextjs.org/)
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- [Tailwind CSS](https://tailwindcss.com/)
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- [Vercel AI SDK](https://sdk.vercel.ai/docs)
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- [Shadcn/UI](https://ui.shadcn.com/)
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- [Tavily](https://tavily.com/)
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- [OpenWeather](https://openweathermap.org/)
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- [E2B](https://e2b.dev/)
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## LLM used
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- [OpenAI's GPT 4o mini](https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/)
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### Deploy your own
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[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fzaidmukaddam%2Fminiperplx&env=OPENAI_API_KEY,ANTHROPIC_API_KEY,GROQ_API_KEY,TAVILY_API_KEY,OPENWEATHER_API_KEY,E2B_API_KEY&envDescription=API%20keys%20needed%20for%20application)
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### Local development
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To run the example locally you need to:
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1. Sign up for accounts with the AI providers you want to use. OpenAI and Anthropic are required, Tavily is required for the web search feature.
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2. Obtain API keys for each provider.
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3. Set the required environment variables as shown in the `.env.example` file, but in a new file called `.env.local`.
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4. `pnpm install` to install the required dependencies.
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5. `pnpm dev` to launch the development server.
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# License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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