🔒Discover how #GraphGrid eliminates tedious tasks for examining the health of the nation's credit unions and secure total assets
GraphGrid’s whitepaper dives deep into using AI and graph technology to achieve this. Want to learn more? ➡️Comment "Yes, I'm interested" below.
🚀 Say goodbye to overpriced graph databases! Introducing ONgDB Cloud by GraphGrid – the fastest, most cost-effective way to store your knowledge for AI/LLM.
⏱️ Don't miss out on early access – unleash the power of ONgDB Cloud today!
🔥https://t.co/k4rhE54fdz
#AI#LLM
Graph technology shouldn’t be locked up behind a single proprietary organization. We desire to see the success of graph database technology available to all. That’s why we’re so pleased to announce the launch of ONgDB 1.0. https://t.co/JpgdpkbDot #OpenSource#GraphDatabase
More than a decade ago, we saw a changing data landscape where the most valuable systems would rely on highly connected data and discovered the power of graph. The launch of ONgDB 1.0 signals a fresh start for the #OSS graph community. #graphdatabase
Now that ONgDB 1.0 is officially out, make sure you get the latest updates and announcements from the ONgDB open source community. Subscribe to our newsletter. https://t.co/owkJmtnqbE
Today we are announcing a change of course in the development of #ONgDB for both community and enterprise users. These changes greatly impact all current users while we move to stable long term strategy. See post for full details. https://t.co/Jxk6g0jbh6
@bradnussbaum@cleishm This is what drew us into #graph when it was about breaking through and seeing that the network age we live in is about understanding connections to move to the next level of intelligence
When we look at the last 5 years of graph expansion it’s clear that community and open standards brought us all together and will be the fabric to move us forward.
We know the future of AI is graph. Context is the key for explainable AI. It’s time to move beyond #RDBMS and ensure the future of graph stays open and doesn’t become an Oracle/ Docker tragedy.
We will never forget the graph community that made this space great and believed when few others did that the path to understanding connected data would be found in graph. Keeping it #OSS forever.