When Etsy introduced a powerful site search, their store’s conversion rates boosted a stunning 3X.

Does your e-shop search convert website traffic into customers at the same rate? If not, what differentiates Etsy and other top online shops from your e-store?

You may not be taking advantage of the most vital solution to increase conversions - vector search in LLMs.

What is vector search in LLMs?

LLMs (Large Language Models) and vector search bring the power of AI conversational search to daily e-commerce shopper life.

Vector search uses the Word2Vec technique to capture the semantic meaning of words and images and to find similar products based on those meanings.

For example, if a user uploads a photo of purple socks, the vector search will realize that they are socks and display similar products - more sock variations of a similar color.

How does that work in LLMs?

Pre-trained on vast amounts of diverse data, LLMs understand context, semantics, and relationships between words and concepts.

When combined with vector search, LLMs excel at creating meaningful vector representations of products, enabling more nuanced and context-aware searches.

For example, a query for “ideas for Italian appetizer” could instantly return all the recipe ideas and the ingredients ready to add to the cart.

When integrated into LLMs, vector search tremendously improves your website’s search and shopping experience.

How is the synergy of vector search and LLMs improving your site search?

Statistics are staggering. 78% of online shoppers run into items irrelevant to what they’re looking for.

With vector search in LLMs, you can solve this money-draining challenge.

Here’s how vector search, when applied in LLMs, supercharges your e-commerce search:

• It understands the meaning and intent of your user’s queries, even if they are complex, vague, or misspelled.

  The query “A gift for a tea lover” will return not only choices of tea but also cups, kettles, and other tea makers.

• It generates natural language texts that describe the results and provide personalized suggestions, reviews, or explanations.

  The travel agency can exploit such tools as LupaChat LLMs for AI to chat with the searchers about destinations, car rentals, and special offers and make them convert.

• It performs cross-modal searches, such as finding products based on textual descriptions or images.

  Let website visitors upload a photo of the floral patterned dress product and leave the task to vector search AI. It will return visually similar results.

• It automatically applies relevant filters, eliminating the need for manual user input and upgrading faceted search.

  Your website shoppers can search for “loose winter pants for women size large.” The vector search will automatically assign relevant filters to deliver perfectly query-matching product recommendations.

Vector search in LLMs is what can make your e-commerce search more intuitive, context-aware, and personalized. And that, ultimately, boosts conversion rates.

Ready to exploit the unlimited?

Witness the power of LLMs and vector search for yourself. Make the leap and integrate a conversion-boosting e-commerce search into your e-shop.
Book a free LupaSearch demo - an intuitive e-commerce search powered by vector search and LLMs synergy.

It’s that easy to deliver a conversion-boosting search experience.