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WPSOLR suggestions have been integrated with SeMI Technologies Weaviate qna-transformer reader.
Would it be nice to retrieve your puppies and kittens images among tens of thousands of untagged images from the WordPress media library search bar?
We’ve built a new Flatsome WooCommerce demo with 100,000 products. Suggestions from WPSOLR are displayed in 250ms. You can try the live demo here: https://demo-woocommerce-flatsome-kinsta-100k-products.wpsolr.com/shop/
When you install WordPress, you’ll get an almost perfect page speed score. But suddenly your score gets lower and lower. Why? Well, probably because of
Vespa.ai is under consideration as the second semantic search engine API integrated with WPSOLR, after Weaviate. Vespa is a big data, production-ready, hybrid semantic and
In an earlier post, I mentioned how quickly vector search was innovating. Here is an exemple, with Weaviate’s new module to manage vectorization of both
I was thinking about calling the new OpenAI GPT-3 embeddings API , store the embedding in a Vector database (SeMI Weaviate, Pinecone), then perform similarity
The great thing about Vector search is its almost infinite range: every day new ML models come out with amazing new capabilities. Semantic text search,
With the question “what color are the leashes ?“, Weaviate Q&A module suggests all colors for all products in our WooCommerce. The magic is that
14 million monthly visits with a mobile PageSpeed score of 30 ! Who said Core Web vitals were fundamental in 2022 ? I don’t know
WooCommerce search requires so many crafts! (recommendation, personnalisation, trending, multi-modal, BERT NLP …) Does it mean non-opinionated OSS e-commerce search solutions are reserved to big
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