Neural network vs. keyword search | Algolia

In the era of Big Data, search technology is continually evolving and companies are implementing groundbreaking intelligent search capabilities. Neural search, a quantum leap forward in data science, is an AI-based method that allows for understanding of what queries mean. Traditional keyword-based search engines don't know that certain words might be related, while vector-based search engines understand relationships between words and provide better search results. Neural networks are algorithms meant to mimic the human brain and emulate the human thought process, converting data to vectors for speed and flexibility. Machine learning is a growing positive phenomenon for companies, with artificial neural networks in business having grown 270% in recent years.

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