🧟‍♂️ Wake The Dead

Try it now: WakeTheDead.ai

Perplexity AI 🤝 Link Reader

AI tool that makes reading, watching, and searching easier

Paste any link and:

• ⚡ Get smart summaries from articles and videos. Skim through them in seconds.
• 🔍 Find what you actually need
• 🤝 See what others found useful
• 🌍 Works in your language

🖼️ Preview

Try Wake The Dead Now →

🌟 Features

⚡ Smart Skimming

• AI-powered content summarization for articles, videos, and web pages
• Global caching system for instant access to previously processed content
• Multi-language support with dedicated caching per language and AI model
• YouTube video summarization with timestamp navigation

🔍 Advanced RAG Search Engine

• Real-time web search integration
• Semantic similarity search using vector embeddings
• Community knowledge integration
• Auto-generated follow-up questions
• Rate limiting for API stability

🌐 Community Knowledge Sharing

• Knowledge base building through user interactions
• Semantic caching for shared content
• Cross-referencing between related content

⚙️ Customization Options

• Multiple AI model support (including llama, gemma2, mixtral & Grok-beta)
• Language selection
• Progressive Web App (PWA) support

🚀 Getting Started

Prerequisites

• Node.js (Latest LTS version)
• Next.js 13+
• An Ollama instance running locally (optional, for local embeddings)
• Various API keys (see Configuration section)

Installation

1. Clone the repository:

   git clone https://github.com/datobhj/wakethedead.git
   cd wakethedead

2. Install dependencies:

   npm install

3. Set up environment variables: Create a .env.local file with the following variables:

   
   # Required API Keys
   GROQ_API_KEY=your_groq_api_key                    # Required: Main LLM API key
   OPENAI_API_KEY=your_openai_api_key                # Required: For chunk embeddings
   UPSTASH_REDIS_REST_URL_1=your_upstash_url        # Required: For article caching
   UPSTASH_REDIS_REST_TOKEN_1=your_upstash_token    # Required: For article caching
   UPSTASH_REDIS_REST_URL_2=your_upstash_url_2      # Required: For chunk embeddings
   UPSTASH_REDIS_REST_TOKEN_2=your_upstash_token_2  # Required: For chunk embeddings

Optional API Keys

OLLAMA_BASE_URL=http://localhost:11434/v1 # Optional: For local embeddings SERPER_API=your_serper_api_key # Optional: Alternative search API SEARCH_API_KEY=your_search_api_key # Optional: Alternative search API XAI_API_KEY=your_xai_api_key # Optional: For xAI model access

4. Run the development server:
```bash
npm run dev

5. Open http://localhost:3000 in your browser.

🛠️ Technology Stack

• Frontend: Next.js, React, Tailwind CSS
• AI/LLM:
  • LLM support: OpenAI, Groq, Grok-beta
  • Embeddings: OpenAI
• Database: Upstash Vector Database
• Caching: Semantic Cache with Upstash
• APIs:
  • Search: Serper API
  • Various AI model APIs
• Development Tools: TypeScript, ESLint

📚 Core Components

Content Summarization (app/summarizeVideo/route.ts)

• Processes URLs and generates AI-powered summaries
• Supports both article and video content
• Implements caching and rate limiting
• Handles rate limiting and caching

RAG Search Engine (app/action.tsx)

• Combines web search with vector similarity
• Processes and vectorizes content
• Generates relevant follow-up questions
• Handles rate limiting and caching

☕ Support

If you think this is cool, you can:

• ⭐ Star this repo
• 🌐 Visit WakeTheDead.ai
• ☕ Buy me a coffee (I run on caffeine)

📞 Contact

• 🐦 DM me on X: @DatoBHJ
• 📧 Email me: datobhj@gmail.com

Built with 🧠 and ❤️ by someone who drinks too much coffee