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Quest for Efficient AI: An Evaluation of the Vector Database Landscape
Earlier this year, due to soaring interest and multiple product initiatives, we went on a quest to evaluate and deploy an internally hosted vector database. We’re in the midst of the AI revolution, and many new AI‑inspired product initiatives rely on vector embeddings. Embeddings are generated by AI models, and take the form of high dimensional…
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Real-Time Elasticsearch Indexing on WordPress.com
Love databases, indexing, and Elasticsearch gymnastics? Greg Brown walks us through the indexing sausage factory on WordPress.com.
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Improving Relevance and Elasticsearch Query Patterns
The WordPress.org plugin directory has been significantly rebuilt over the past year and should go live soon (test site). Many from across the WordPress community helped with this effort. I focused on improving plugin search relevancy. This was a great learning experience on how to build more relevant searches for a couple of reasons: There…
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How’s Your New Year’s Resolution Going?
Talking with friends last week, many of us sheepishly admitted that we have already “broken” our 2017 resolutions. According to a popularly cited study by Norcross in 2002, only 64% of 150 participants who had made resolutions were able to stick with them beyond a month. A recent Marist poll lists some popular choices for…
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Intro to Search: Measurement
Welcome to the third part of our mini-series “Intro to Search.” In my previous posts, I’ve discussed the characteristics of great search results and what a search engine looks like from the inside. But, how do we know if our algorithms actually deliver relevant search results? The answer is, of course, by measurement! There is…
Data for Breakfast 