AI prompts
base on Scira (Formerly MiniPerplx) is a minimalistic AI-powered search engine that helps you find information on the internet. Powered by Vercel AI SDK! Search with models like Grok 2.0. # Scira

A minimalistic AI-powered search engine that helps you find information on the internet.
## Powered By
<div align="center">
<div style="display: flex; justify-content: center; align-items: center; gap: 80px; margin: 20px 0;">
<a href="https://sdk.vercel.ai/docs">
<img src="/public/one.svg" alt="Vercel AI SDK" height="40" />
</a>
<a href="https://tavily.com">
<img src="/public/four.svg" alt="Tavily AI" height="40" />
</a>
</div>
</div>
- [Vercel AI SDK](https://sdk.vercel.ai/docs) - For AI model integration and streaming
- [Tavily AI](https://tavily.com) - For search grounding and web search capabilities
## Special Thanks
<div align="center" markdown="1">
[](https://www.warp.dev/?utm_source=github&utm_medium=referral&utm_campaign=scira)<br>
### **[Warp, the intelligent terminal](https://www.warp.dev/?utm_source=github&utm_medium=referral&utm_campaign=scira)**<br>
[Available for MacOS, Linux, & Windows](https://www.warp.dev/?utm_source=github&utm_medium=referral&utm_campaign=scira)<br>
[Visit warp.dev to learn more](https://www.warp.dev/?utm_source=github&utm_medium=referral&utm_campaign=scira)
</div>
## Features
- **AI-powered search**: Get answers to your questions using Anthropic's Models.
- **Web search**: Search the web using Tavily's API.
- **URL Specific search**: Get information from a specific URL.
- **Weather**: Get the current weather for any location using OpenWeather's API.
- **Programming**: Run code snippets in multiple languages using E2B's API.
- **Maps**: Get the location of any place using Google Maps API, Mapbox API, and TripAdvisor API.
- **YouTube Search**: Search for videos on YouTube and get timestamps and transcripts [powered by Exa.AI - the Web Search API](https://exa.ai/).
- **Academic Search**: Search for academic papers [powered by Exa.AI - the Web Search API](https://exa.ai/).
- **X Posts Search**: Search for posts on X.com [powered by Exa.AI - the Web Search API](https://exa.ai/).
- **Flight Tracker**: Track flights using AviationStack's API.
- **Trending Movies and TV Shows**: Get information about trending movies and TV shows.
- **Movie or TV Show Search**: Get information about any movie or TV show.
## LLM used
- [xAI's Grok](https://x.ai/grok)
- [Anthropic's Claude 3.5 Sonnet](https://www.anthropic.com/news/claude-3-5-sonnet)
- [Meta's Llama 3.3 70B by Cerebras](https://inference-docs.cerebras.ai/introduction)
- [Deepseek R1 Distill by Groq Inc](https://console.groq.com/docs/model/deepseek-r1-distill-llama-70b)
## Built with
- [Next.js](https://nextjs.org/)
- [Tailwind CSS](https://tailwindcss.com/)
- [Vercel AI SDK](https://sdk.vercel.ai/docs)
- [Shadcn/UI](https://ui.shadcn.com/)
- [Exa.AI](https://exa.ai/)
- [Tavily](https://tavily.com/)
- [OpenWeather](https://openweathermap.org/)
- [E2B](https://e2b.dev/)
- [Google Maps](https://developers.google.com/maps)
- [Mapbox](https://www.mapbox.com/)
- [TripAdvisor](https://www.tripadvisor.com/)
- [AviationStack](https://aviationstack.com/)
### Deploy your own
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fzaidmukaddam%2Fscira&env=XAI_API_KEY,ANTHROPIC_API_KEY,CEREBRAS_API_KEY,GROQ_API_KEY,E2B_API_KEY,ELEVENLABS_API_KEY,TAVILY_API_KEY,EXA_API_KEY,TMDB_API_KEY,YT_ENDPOINT,FIRECRAWL_API_KEY,OPENWEATHER_API_KEY,SANDBOX_TEMPLATE_ID,GOOGLE_MAPS_API_KEY,MAPBOX_ACCESS_TOKEN,TRIPADVISOR_API_KEY,AVIATION_STACK_API_KEY,CRON_SECRET,BLOB_READ_WRITE_TOKEN,NEXT_PUBLIC_MAPBOX_TOKEN,NEXT_PUBLIC_POSTHOG_KEY,NEXT_PUBLIC_POSTHOG_HOST,NEXT_PUBLIC_GOOGLE_MAPS_API_KEY&envDescription=API%20keys%20and%20configuration%20required%20for%20Scira%20to%20function)
## Set Scira as your default search engine
1. **Open the Chrome browser settings**:
- Click on the three vertical dots in the upper right corner of the browser.
- Select "Settings" from the dropdown menu.
2. **Go to the search engine settings**:
- In the left sidebar, click on "Search engine."
- Then select "Manage search engines and site search."
3. **Add a new search engine**:
- Click on "Add" next to "Site search."
4. **Set the search engine name**:
- Enter `Scira` in the "Search engine" field.
5. **Set the search engine URL**:
- Enter `https://scira.app?q=%s` in the "URL with %s in place of query" field.
6. **Set the search engine shortcut**:
- Enter `sh` in the "Shortcut" field.
7. **Set Default**:
- Click on the three dots next to the search engine you just added.
- Select "Make default" from the dropdown menu.
After completing these steps, you should be able to use Scira as your default search engine in Chrome.
### Local development
#### Run via Docker
The application can be run using Docker in two ways:
##### Using Docker Compose (Recommended)
1. Make sure you have Docker and Docker Compose installed on your system
2. Create a `.env` file based on `.env.example` with your API keys
3. Run the following command in the project root:
```bash
docker compose up
```
4. The application will be available at `http://localhost:3000`
##### Using Docker Directly
1. Create a `.env` file based on `.env.example` with your API keys
2. Build the Docker image:
```bash
docker build -t scira.app .
```
3. Run the container:
```bash
docker run --env-file .env -p 3000:3000 scira.app
```
The application uses a multi-stage build process to minimize the final image size and implements security best practices. The production image runs on Node.js LTS with Alpine Linux for a minimal footprint.
#### Run with Node.js
To run the application locally without Docker:
1. Sign up for accounts with the required AI providers:
- OpenAI (required)
- Anthropic (required)
- Tavily (required for web search feature)
2. Copy `.env.example` to `.env.local` and fill in your API keys
3. Install dependencies:
```bash
pnpm install
```
4. Start the development server:
```bash
pnpm dev
```
5. Open `http://localhost:3000` in your browser
# License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
", Assign "at most 3 tags" to the expected json: {"id":"12486","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"