From TF-IDF to Transformers: Implementing Four Generations of Semantic Search

# How Search Technology Got Much Smarter Search engines used to work like a filing system that just matched words you typed with words in documents, but modern AI has transformed search to actually understand what you *mean*. This article traces that evolution, showing how search technology graduated from simple word-matching to AI systems that grasp context and intent—kind of like the difference between a librarian who can only find exact titles versus one who understands you're looking for romance novels even if you don't say the word "romance." If you're curious about why search feels so much more intuitive today, this breakdown explains the technological leaps that made it happen.
How did semantic search evolve from simple keyword matching into modern transformer-based language understanding? This hands-on article builds four generations of semantic search systems step by step using Python. The post From TF-IDF to Transformers: Implementing Four Generations of Semantic Search
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