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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

While Data Lakes rose on cheap limitless scalable block storage (S3, GCP, Azure), the Lucene search ecosystem is still working on traditional file storage No

I always thought it was reserved to elite users of  Google Analytics 360 But in fact, you can synchronize “normal” Google Analytics 4 properties to

After looking for a way to re-rank WPSOLR search results based on users interaction history, we are currently thinking of Amazon Personalize Ranking solution. It

I liked this nice presentation of Conversion Rate Optimisation (CRO) from Vaimo. It shows that both Klevu and GA are required to track the customers’

Blown away by the quality of Dataiku Academy 101! 100x better than tutorials, with a systematic presentation of both concepts and their screens. We all

I stumbled upon this Google blog post about Vertex Matching Engine. It is the current planet-scale Vector search technology used  at Google search, Youtube recommendations,

WPSOLR is proud to announce his presence on the OpenSearch’s partners list https://opensearch.org/partners/ (And that we now use the official OpenSearch PHP client https://github.com/opensearch-project/opensearch-php)