#SemanticSearch #DataInfrastructure #SearchArchitecture Our latest post, www.graphiumlabs.com/blog/end-of-..., discusses how current search systems and tools are falling apart as they are required to handle an ever growing mass of data, and an increasing level of nuance and complexity.

I think they might be coming back. Have you seen www.graphiumlabs.com?

New Graphium Labs blog post! www.graphiumlabs.com/blog/precisi... #precision #recall #relevance #search #informationretrieval #searchengineering #searchsystems #searchquality #mlmetrics

Big news: Saem Ghani (@saemg.bsky.social) is joining Graphium Labs as CEO! He’s led SaaS + large-scale data systems for enterprise—now he’s driving our next chapter. Come meet him & the team at Web Summit Vancouver, May 27–30. We’ll be at the booth!

Video I shot of a great talk by @nisanharamati.bsky.social on "The Limits of Scaling" at the Vancouver Systems meetup on March 10. www.youtube.com/watch?v=D4ZL...

This was a really fun talk to give. Thanks Kir Shatrov and Cameron Morgan for organizing, and @tavis.damnsimple.com for recording! Video: m.youtube.com/watch?v=D4ZL... Slides: www.graphiumlabs.com/vancouver-sy...

Co-founder @nisanharamati.bsky.social gave a talk at last night's Vancouver.systems , "The Limits of Scaling and the Physical Properties of Data" going over how to predict the size limit where distributed systems stop scaling and start losing throughput. slides: www.graphiumlabs.com/vancouver-sy...

We don't talk enough about Scaling to Catastrophe in distributed systems. Today's post, part 2 in the Physical Properties of Data series, explores the different scaling phases through the lens and math of the Universal Scalability Law. www.graphiumlabs.com/blog/part2-g... #databs #dataengineering

Similarity measurement is the key element in recommendation systems: which entities or objects in your dataset are similar to others, and by how much, is the engine that drives recommendation systems Read more in our latest blog post at www.graphiumlabs.com/blog/similar... #databs #dataengineering

We often think of data as an abstract virtual element, lacking mass, energy, or inertia. But data exists as physical state in physical systems, whose characteristics and constraints shape and control everything that we can and cannot do with our data. www.graphiumlabs.com/blog/physica... #databs