Keyword-First Search Can’t Scale to AI. Here’s What Replaces It. Podcast Por  arte de portada

Keyword-First Search Can’t Scale to AI. Here’s What Replaces It.

Keyword-First Search Can’t Scale to AI. Here’s What Replaces It.

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This story was originally published on HackerNoon at: https://hackernoon.com/keyword-first-search-cant-scale-to-ai-heres-what-replaces-it.
Algolia & Elasticsearch added vector search, but hybrid retrieval is harder than it looks. Where keyword-first architecture breaks and what actually works.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #search, #software-architecture, #vector-search, #algolia, #software-development, #hybrid-retrieval, #hackernoon-top-story, and more.

This story was written by: @paoloap. Learn more about this writer by checking @paoloap's about page, and for more stories, please visit hackernoon.com.

Keyword search engines like Algolia were designed for precise lookups across structured catalogs. But modern search demands semantic understanding, constraints, personalization, and real-time signals.

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