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rSearch: AI-Powered Reasoning Engine

rSearch

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

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.

Deploy with Vercel

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

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