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Understanding Large Language Models (LLMs) and Knowledge Graphs
Today, two very different technology concepts have become prominent in data analysis and predictive analytics: Knowledge Graphs and Large Language Models (LLMs). These domains each have their unique benefits, and influence the ways that we engage with and derive meaningful insights from constantly expanding and complex datasets. They are like the Odd Couple – better together than on their own!
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Welcome to the ArangoDB newsletter for February 2023. Thank you for reading! 📖
Here are the things we’re most excited about this month:
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Private endpoints allow the connection from your application to your ArangoDB Cloud deployment to stay entirely within the cloud service provider’s network and remain unexposed to the public internet.
Last year we introduced support for private endpoints for Microsoft Azure. In June, we announced that private endpoints were GA for ArangoDB Cloud deployments running on AWS. Today, we are happy to share that we now support all three major cloud providers with the addition of private endpoints for ..
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We are proud to announce the GA 1.0 release of the ArangoDB-PyG Adapter!
The ArangoDB-PyG Adapter exports Graphs from ArangoDB, the multi-model database for graph & beyond, into PyTorch Geometric (PyG), a PyTorch-based Graph Neural Network library, and vice-versa.
On July 29 2022, we introduced the first release of the PyTorch Geometric Adapter to the ArangoML community. We are proud to have PyG as the fourth member of our ArangoDB Adapter Family. You can expect the same developer-friendly adapter options and a helpful getting-started guide via Jupyter..
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Hello Community,
Welcome to the July ArangoDB newsletter. This month, we invite you to:
Get the latest tutorials,
blog posts and news: