{"id":13914,"date":"2022-06-14T20:29:32","date_gmt":"2022-06-14T20:29:32","guid":{"rendered":"https:\/\/www.searchenginejournal.com\/evolution-of-hybrid-search-how-it-can-help-your-website\/454116\/"},"modified":"2022-06-14T20:29:32","modified_gmt":"2022-06-14T20:29:32","slug":"evolution-of-hybrid-search-how-it-can-help-your-website-via-sejournal-mattgsouthern","status":"publish","type":"post","link":"https:\/\/marketingnewsbox.com\/?p=13914","title":{"rendered":"Evolution Of Hybrid Search & How It Can Help Your Website via @sejournal, @MattGSouthern"},"content":{"rendered":"
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Hybrid search refers to merging search technologies \u2014 but the tech used to create hybrid search engines is changing.<\/p>\n

Here\u2019s where it\u2019s at today.<\/p>\n

Traditionally, hybrid search referred to a mix of directory- and crawler-based search engines.<\/p>\n

Now, the meaning is changing to refer to a combination of artificial intelligence (AI) and neural hashing.<\/p>\n

AI replaces the complex rules-based understanding of traditional on-site search, while neural hashing makes vector-based search as fast as keyword search.<\/p>\n

It might sound a little complicated \u2014 but the result is effortless searching for users.<\/p>\n

Today\u2019s hybrid search technology makes it possible for a query like \u201ckeep cool in summer\u201d on an electronic store\u2019s website to yield instant results for fans and air conditioners.<\/p>\n

Without hybrid search, results might be limited to products that contain words used in the query.<\/p>\n

In addition to offering greater speed and relevancy, hybrid search is more accessible for businesses to implement on their own websites.<\/p>\n

A company called Search.io is one organization charting a path toward a new future for hybrid search, and I recently had a chance to talk to CEO and co-founder Hamish Ogilvy.<\/p>\n

He informed me about recent developments in this field and how his company\u2019s new tool makes it easier for customers to conduct searches on business websites. That, in turn, can lead to businesses making more sales.<\/p>\n

AI + Neural Hashing = Modern Hybrid Search<\/h2>\n

In search, AI replaces strict keyword matching with dense vectors encapsulating text meaning. It\u2019s shown to be superior to keywords when it comes to relevance, but comes with the tradeoff of slower results.<\/p>\n

Neural hashing, sometimes called \u2018deep hashing,\u2019 comes in to make vector-based search as fast as keyword search. It gets its name from its ability to use neural networks to hash vectors.<\/p>\n

Neural hashes compare terms using mathematical expressions. They measure the difference between words and concepts, and assign meaning to those closer together.<\/p>\n

What does this mean in practice?<\/strong><\/p>\n

Ogilvy explains:<\/p>\n

\u201cIn practical terms \u2026 AI understanding of language can be easily deployed in search technology. Ironically for many queries, despite the massively improved relevance, it is actually also faster than keyword search.<\/p>\n

Neural hashing gives 99% the performance of dense vector search while being over 100x faster and using a fraction of the space.\u201d<\/p>\n

Ogilvy showed me several examples of natural language queries with and without neural hashing to show how modern solutions are failing retailers and customers.<\/p>\n

A query like \u201csomething to keep my beer cold\u201d returns a single, irrelevant result on retailer Best Buy\u2019s website. In comparison, the same query with neural hashes applied would return a results page full of beer fridges.<\/p>\n

That could make the difference between a customer leaving empty-handed, and a business making a quick sale.<\/p>\n

Hybrid Search \u2013 More Accessible Than Ever For Businesses?<\/h2>\n

Search.io is launching a tool called Neuralsearch, which reportedly combines the speed of traditional keyword search with the accuracy of vector-based search.<\/p>\n

In simple terms, it allows websites to return results more like Google does, without employing an army of search engineers.<\/p>\n

It eliminates the need for retailers to add synonyms to their search index, which takes up a lot of time that can be better spent elsewhere.<\/p>\n

Neuralsearch is now in public beta, following a private test with select organizations. Businesses can add it to their sites for free with a 14-day trial.<\/p>\n

For an example of how it works in action, Ogilvy tells me the following company\u2019s websites are already using Neuralsearch:<\/p>\n