rSearch: AI-Powered Reasoning Engine

A cutting-edge research assistant powered by artificial intelligence that harnesses the advanced reasoning capabilities of DeepSeek R1 combined with comprehensive internet search functionality. rSearch delivers precise, well-reasoned responses to complex research queries by:

• Leveraging state-of-the-art language models for refining queries
• Performing intelligent web searches across multiple data sources
• Synthesizing information through sophisticated chain-of-thought reasoning processes
• Providing clear, actionable insights backed by reliable sources
• Customizable AI models from OpenAI, OpenRouter or DeepSeek
• Self hosted alternative to Perplexity

Demo

Try rSearch* for free here - rsearch.app

Overview

rSearch leverages DeepSeek's Reasoner - R1 model to perform Chain-of-Thought reasoning on search results. The platform first refines your query, searches the internet using Serper.dev API, and then applies advanced reasoning to synthesize a comprehensive, well-thought-out response. Built with Next.js and TypeScript, it offers a seamless research experience while maintaining high performance and code quality.

AI Models and Reasoning

• DeepSeek-R1: State-of-the-art reasoning model that powers rSearch's analytical capabilities

  • Trained via large-scale reinforcement learning
  • Exceptional performance in math, code, and reasoning tasks
  • Comparable performance to OpenAI-o1
  • Open-source availability for research and development

• Customizable AI Models: Added support to use any AI models from OpenAI, OpenRouter or DeepSeek as your AI provider.

• Chain-of-Thought Process:

  1. Query Refinement: Intelligent processing of user input
  2. Internet Search: Comprehensive data gathering via Serper.dev API
  3. Reasoning Analysis: Deep analysis using DeepSeek's reasoning capabilities
  4. Response Synthesis: Well-structured, logical conclusions

Key Features

• Multiple Search Modes: Search across diverse content categories:

  • Web Search: Broad and efficient web search capability
  • Images: Visual content search
  • Videos: Video content discovery
  • News: Latest headlines and articles
  • Places: Local information and geographical insights
  • Shopping: Product information and price comparisons
  • Scholar: Academic content and research papers
  • Patents: Patent database search

• Modern UI Components:

  • Responsive sidebar navigation
  • Mobile-optimized header
  • Dynamic search results display
  • Interactive loading states
  • Customizable themes

Deploy

Deploying rSearch is simple and fast with Vercel's one-click deployment option. Vercel provides a powerful and scalable environment for your project.

Tech Stack

• Framework: Next.js with App Router
• Language: TypeScript
• Styling: TailwindCSS
• Components: ShadCN UI components
• State Management: React Hooks
• Code Quality: ESLint

Getting Started

Prerequisites

• Node.js 18.x or later
• npm or yarn package manager

Installation

1. Clone the repository:

   git clone https://github.com/justmalhar/rsearch.git
   cd rsearch

2. Install dependencies:

   npm install
   # or
   yarn install

3. Set up environment variables:

   cp .env.example .env.local

   Create a .env.local file in the root directory with the following variables:

    # Serper API Key (Google Search API) - https://serper.dev/api-key
    SERPER_API_KEY=
   
    # You can either use OpenAI, OpenRouter or DeepSeek as your AI provider.
    # OpenAI API Key (AI Provider) - https://platform.openai.com/api-keys
    # OpenRouter API Key (AI Provider) - https://openrouter.ai/settings/keys
    # DeepSeek API Key (AI Provider) - https://platform.deepseek.com/api_keys
    NEXT_PUBLIC_AI_PROVIDER_API_KEY=
   
    # AI Provider Base URL (AI Provider)
    # DeepSeek Base URL (AI Provider) - https://api.deepseek.com
    # OpenAI Base URL (AI Provider) - https://api.openai.com
    # OpenRouter Base URL (AI Provider) - https://openrouter.ai/api/v1
    NEXT_PUBLIC_AI_PROVIDER_BASE_URL=https://api.deepseek.com
   
    # AI Query Refiner Model (AI Provider)
    # DeepSeek Refiner Model (AI Provider) - deepseek-chat
    # OpenAI Refiner Model (AI Provider) - gpt-4o-mini
    # OpenRouter Refiner Model (AI Provider) - openai/gpt-4o-mini
    NEXT_PUBLIC_AI_REFINER_MODEL=gpt-4o-mini
   
    # AI Reasoning Model (AI Provider)
    # DeepSeek Reasoning Model (AI Provider) - deepseek-reasoner
    # OpenAI Reasoning Model (AI Provider) - gpt-4o
    # OpenRouter Reasoning Model (AI Provider) - openai/gpt-4o
    NEXT_PUBLIC_AI_REASONING_MODEL=gpt-4o
   
    # Landing Page Copy Text
    NEXT_PUBLIC_LANDING_PAGE_COPY_TEXT="AI-powered search with advanced reasoning capabilities"

4. Start the development server:

   npm run dev
   # or
   yarn dev

The application will be available at http://localhost:3000

Development Commands

• npm run dev: Start development server
• npm run build: Create production build
• npm run start: Start production server
• npm run lint: Run ESLint for code quality checks

Project Structure

rsearch/
├── app/                  # Next.js app directory
│   ├── api/             # API routes
│   ├── layout.tsx       # Root layout
│   ├── page.tsx         # Home page
│   └── rSearch/          # Search page
├── components/          # React components
│   ├── rSearch/        # Search-specific components
│   └── ui/             # Reusable ShadCN UI components
├── hooks/              # Custom React hooks
├── lib/                # Utility functions
├── public/             # Static assets
└── types/              # TypeScript type definitions

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Built with Next.js
• Powered by DeepSeek-R1
• Search capabilities by Serper.dev
• Styled with TailwindCSS
• Icons from various sources including custom SVGs

Stay Connected

• Twitter/X: @justmalhar 🛠
• LinkedIn: Malhar Ujawane 💻
• GitHub: justmalhar 💻