What if #AI memory behaved like a living system—persistent, connected, evolving? Not rebuilt per request, but continuously growing. @MarkusKett explores this shift with a #Java-native architecture.

See how it works at scale: https://javapro.io/2026/04/15/petabyte-scale-ai-memory-with-serverless-java/

#GenAI #GraphDM #JVector

Up to 80% of #AI infrastructure sits idle—burning cost, energy, & innovation potential. @MarkusKett explores a new model: serverless, stateful AI memory at petabyte scale. Learn how to break the RAM-cost wall: https://javapro.io/2026/04/15/petabyte-scale-ai-memory-with-serverless-java/

#GenAI #GraphDM #JVector #CyrockAI @Cyrock_AI

What if #AI memory behaved like a living system—persistent, connected, evolving? Not rebuilt per request, but continuously growing. @MarkusKett explores this shift with a #Java-native architecture.

See how it works at scale: https://javapro.io/2026/04/15/petabyte-scale-ai-memory-with-serverless-java/

#GenAI #GraphDM #JVector

🔥 Dive into powerful #GenAI apps with pure #Java — hands-on at #JCON2026! 2h live coding with CTO @FHHabermann – no extra infra, just #JVector + #EclipseStore. #VectorSearch + persistence in one stack.

🎟️ Tickets: https://2026.europe.jcon.one/workshops
⚠️ Limited spots – seats almost sold out

🔥 Dive into powerful #GenAI apps with pure #Java — hands-on at #JCON2026! 2h live coding with CTO @FHHabermann – no extra infra, just #JVector + #EclipseStore. #VectorSearch + persistence in one stack.

🎟️ Tickets: https://2026.europe.jcon.one/workshops
⚠️ Limited spots – seats almost sold out

Building RAG in #Java but hitting #Performance walls & architectural friction? The problem might be your data layer. @RichardFichtner breaks it down.

Discover how to eliminate the “data wall” & streamline your system—dive in: https://javapro.io/2026/04/02/build-vector-database-apps-with-pure-java/
#GenAI #EclipseStore #JVector

New blog alert! 👇
🔓 Breaking the single-thread bottleneck: Concurrent vector graph construction in OpenSearch

👉 Read the full blog to learn how DataStax and OpenSearch unlocked scalable vector indexing with a lock-free, multi-threaded approach.
: https://opensearch.org/blog/breaking-the-single-thread-bottleneck-concurrent-vector-graph-construction-in-opensearch/
#OpenSearch #VectorSearch #RAG #AI #jVector #Scalability #Performance

Indexing the entirety of English #Wikipedia on a laptop has become a practical reality thanks to recent advances in the #JVector library that will be part of the imminent 3.0 release. More from Jonathan Ellis #DataStax here on Foojay !

https://foojay.io/today/indexing-all-of-wikipedia-on-a-laptop/

#foojaytip

Indexing all of Wikipedia, on a laptop

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