Philipp Krenn

@xeraa
632 Followers
174 Following
1.7K Posts
🎩 of DevRel & Developer 🥑 at Elastic — toots about Elasticsearch, Kibana, search, observability, security
websitehttps://xeraa.net
twitterhttps://twitter.com/xeraa
linkedinhttps://www.linkedin.com/in/philippkrenn/
githubhttps://github.com/xeraa

obligatory GTC keynote tweet when you make the top slides: building HNSW graphs with up to 12x the throughput and 7x faster merges on elasticsearch and NVIDIA cuVS (a GPU-accelerated library for vector search)
powered by CAGRA (graph-based ANN algorithm built to run natively on GPUs) that still works with CPUs for search

full post: https://www.elastic.co/blog/elastic-nvidia-cuvs-integration
and find us at GTC — we have a booth and I'll be around today and tomorrow

PS: yeah, this is a lot of acronyms

nvidia GTC where every second word (spoken and on booths) is AI, agent, or token 😬

PS: who else is around?

BM25 for "sparse visual-word activations"? https://arxiv.org/abs/2603.05781
BM25 just refuses to disappear or even take the back set for retrieval
soon...
and there's already the .md version for every elastic docs page and you can download the full docs as MD in a ZIP file too
the irony on the vibecoding subreddit

outage scenario: electricity turned off because of a drone / rocket attack

ongoing updates: https://health.aws.amazon.com/health/status

Amplifying — AI Benchmark Research

Systematic analysis of how AI systems make decisions — from product recommendations to developer tool choices.

Amplifying
models have personalities in their recommendations and how conservative or cutting edge they are — massive differences even within a close "family" 4/5
new defaults — some general and some language specific (the report is very JS and python focused) 3/5
depending on the area, there is a clear bias towards building vs buying
feature toggles as a full blown company were always a weird choice... 2/5