COUNTRY FOCUS : GERMANY
“ Our co-operation with DataStax and their approach has unlocked new capabilities and streamlined our processes , which will allow us to deliver faster and more accurate insights to our community ,” said Lydia Pintscher , Portfolio Lead for Wikidata , Wikimedia Deutschland . “ DataStax offers a combination of scalability , ease of use , and advanced embedding models that supports and encourages the development of AI applications for the public good with open and high-quality data .”
“ We ’ re thrilled to see Wikimedia Deutschland improving accessibility to the world ’ s largest knowledge graph with our AI platform . The open-source community is crucial as it can bring more common good and many new ideas and innovations to the digital world ,” said Ed Anuff , Chief Product Officer , DataStax .
Wikimedia Deutschland and DataStax plan to expand upon these initial projects , exploring capabilities like graphRAG to enhance search reliability further , and supporting up to hundreds of languages to improve accessibility . The combination of Astra DB ’ s serverless model , powered by AWS , ensures Wikimedia Deutschland ’ s infrastructure can flexibly grow with its data demands , solidifying its position as a global leader in open-source AI-driven knowledge .
DataStax continues to offer AWS customers the latest innovations with its end-to-end AI development platforms , supporting developers from idea to production . Astra Vectorize simplifies and accelerates vector embeddings by handling embedding generation directly on Astra DB running on AWS , fully supporting Amazon Bedrock .
Amazon Bedrock is also supported in DataStax Langflow , offering a drag-and-drop experience for AWS developers to test foundational models with real
Our co-operation with DataStax and their approach has unlocked new capabilities and streamlined our processes .
data . Support for Amazon Q is coming for Langflow , allowing users the low-code convenience for integration with AWS ’ s AI-powered assistant . DataStax brings cost savings to AWS users by leveraging AWS Graviton processors , lowering operation costs and helping AWS users manage TCO . p
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