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What is end-to-end AI search?

Blog post from Algolia

Post Details
Company
Date Published
Author
Abhijit Mehta
Word Count
1,758
Language
English
Hacker News Points
-
Summary

Simplicity is crucial in search engines, but building one that enables this simplicity is complex. Over the last two decades, most on-site search solutions have enabled matching a customer's query to a search index. However, search engines struggle to understand users' intentions well. Algolia NeuralSearch introduces native end-to-end AI processing, which can optimize all 100% of search catalogs using machine learning algorithms. This solution covers three phases: query understanding, retrieval, and ranking. Each phase provides value to the final results. End-to-end AI is needed because most existing AI solutions have only focused on solving for discrete parts of the search query. Algolia NeuralSearch sends each query through these three phases to deliver the best results.