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Building a Simple Search Engine from Scratch: A Practical Alternative to Complex Solutions

By

freediver

6mo ago· 17 min readen

Summary

The article presents a practical guide to building a simple, functional search engine from scratch as an alternative to complex solutions like Elasticsearch or Algolia. The author explains how to create a search system that integrates with existing databases, tokenizes content for indexing, and implements relevance scoring. The approach emphasizes simplicity, maintainability, and avoiding unnecessary complexity for projects that don't require enterprise-scale search solutions.

Key quotes

· 5 pulled
Why not just use Elasticsearch? or What about Algolia? Those are valid options, but they come with complexity.
Sometimes you just want something that works with your existing database, respects your current architecture, and gives you full control over how it works.
The concept is simple: tokenize everything, store it, then match tokens when searching.
You don't need Elasticsearch for most projects. I built a simple search engine from scratch that tokenizes everything, stores it in your existing database, and scores results by relevance.
Dead simple to understand and maintain.
Snippet from the RSS feed
You don't need Elasticsearch for most projects. I built a simple search engine from scratch that tokenizes everything, stores it in your existing database, and scores results by relevance. Dead simple to understand and maintain.

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