Documentation

Search The Info

Research and article platform for academic papers and technical writings.

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Project Info

Status
Production
Version
v1.0.0
Updated
Dec 2025

Tech Stack

Next.jsMongoDBReactTailwind CSS

System Architecture

High-level design and architectural decisions behind Search The Info.

Architecture Overview

Search The Info follows a modern, full-stack JavaScript architecture built on the Next.js framework. The system is designed with separation of concerns, scalability, and maintainability as core principles.

Architecture Layers

┌─────────────────────────────────────────┐
│         Presentation Layer              │
│    (Next.js Pages & Components)         │
└────────────────┬────────────────────────┘
                 │
┌────────────────┴────────────────────────┐
│         Application Layer               │
│      (API Routes & Business Logic)      │
└────────────────┬────────────────────────┘
                 │
┌────────────────┴────────────────────────┐
│           Data Layer                    │
│  (MongoDB Database & Data Models)       │
└─────────────────────────────────────────┘

System Components

Frontend (Presentation Layer)

Built with Next.js 14 App Router and React Server Components for optimal performance:

  • Server Components: For static content and initial page loads
  • Client Components: For interactive elements like the rich text editor
  • Tailwind CSS: For responsive, utility-first styling
  • Next/Image: For optimized image loading and performance

Backend (Application Layer)

API routes handle business logic and data operations:

  • RESTful API: CRUD operations for articles and content
  • Authentication: Session-based authentication for admin access
  • Validation: Input validation and sanitization
  • Error Handling: Centralized error handling and logging

Database (Data Layer)

MongoDB provides flexible document storage:

  • Schema Design: Flexible documents for articles with rich content
  • Indexing: Optimized indexes for search and queries
  • Aggregation: Complex queries for filtering and categorization

Database Schema

The MongoDB schema is designed to support flexible content while maintaining structure:

Articles Collection

{
  _id: ObjectId,
  title: String,
  slug: String,              // URL-friendly identifier
  content: String,           // Rich text HTML content
  excerpt: String,           // Short description
  author: {
    name: String,
    email: String
  },
  tags: [String],            // Array of tags
  category: String,
  status: String,            // 'draft' or 'published'
  featuredImage: {
    url: String,
    alt: String
  },
  metadata: {
    readingTime: Number,     // Estimated reading time
    wordCount: Number,
    lastModified: Date
  },
  createdAt: Date,
  publishedAt: Date,
  updatedAt: Date
}

Data Flow

Understanding how data flows through the system:

1

User Request

Browser sends request to Next.js server (e.g., viewing an article)

2

Server-Side Rendering

Next. js fetches data from MongoDB during server rendering

3

Data Processing

Article data is formatted, sanitized, and prepared for display

4

HTML Generation

Complete HTML page is generated on the server with article content

5

Response

Fully rendered page is sent to browser, client-side JavaScript hydrates interactive elements

Key Architectural Decisions

Why Next.js?

Next.js provides server-side rendering for excellent SEO, built-in API routes eliminating the need for a separate backend, and optimal performance through automatic code splitting and image optimization.

Why MongoDB?

MongoDB's document model is perfect for storing articles with varying structures and rich content. It allows flexible schema evolution as features are added without requiring database migrations.

Why Server Components?

React Server Components reduce JavaScript bundle size, improve initial page load times, and enable direct database access from components without exposing API endpoints.

Performance Optimizations

  • Static Site Generation: Pre-render article pages at build time for instant loading
  • Incremental Static Regeneration: Update static pages without full rebuilds
  • Database Indexing: Optimized indexes on frequently queried fields
  • Image Optimization: Next/Image for automatic responsive images
  • Code Splitting: Automatic chunking for optimal bundle sizes