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AWS aims to strengthen AI and data with GraphRAG support and InfluxDB partnership
This year’s Amazon Web Services Inc.’s re:Invent conference has been another opportunity to watch as a series of new innovations hit the landscape. The emergence of agentics highlights the evolving data landscape and showcases how foundational elements are coming together to drive innovation, including when it comes to the AWS InfluxData Inc. partnership.
The announcements this year included the news that Amazon Bedrock Knowledge Bases now supports GraphRAG. That’s super important, according to Brad Bebee (pictured, right), general manager of Amazon Neptune and Amazon Timestream at AWS.
Evan Kaplan of InfluxData and Brad Bebee of Amazon Neptune and Amazon Timestream talk to theCUBE.
“It allows customers to get better and more accurate results and more comprehensive results for their RAG applications by using a graph underneath,” he said. “Customers can benefit from a graph without having to learn to use a graph database.”
Bebee and Evan Kaplan (pictured, left), chief executive officer of InfluxData, spoke with theCUBE Research’s John Furrier for theCUBE’s “Cloud AWS re:Invent coverage,” during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the AWS InfluxData partnership, the integration of advanced data technologies with AI applications and the growing impact of open-source collaboration in enabling real-time, intelligent systems.
AWS InfluxData partnership detailed
In March of this year, AWS announced the general availability of Amazon Timestream for InfluxDB. It has been very popular with customers, and it was important for it to be a win-win proposition, according to Bebee.
“We have some exciting things that we’re going to be doing over the next couple of years I think that will deepen that partnership and make it really something that’s a unique model for collaboration,” he said.
Even before the last couple of years of the rise of AI, there’s been a big boom drive by IoT and time-series database, according to Kaplan. What’s different now is the requirement for higher resolution data to build smarter models.
“The more you know about the physical world, the more you know about the conditions … the better, more effective models you can build,” Kaplan said.
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s “Cloud AWS re:Invent Coverage”:
Photo: SiliconANGLE
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