Latest Product Updates and Feature Enhancements on DataStax Enterprise

 

DataStax Delivers Glean and Unstructured Integrations to AI Platform at RAG++ Event in NYC | DataStax

DataStax announced new integrations and features for its AI PaaS at the RAG++ event in NYC. The platform now includes native integrations with Unstructured.io and Glean, enhancing data ingestion and ...query relevancy for GenAI applications. The updates aim to streamline data processing and improve AI workflows, offering developers a faster path to production-ready applications.

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DataStax Expands Astra DB Extension for GitHub Copilot to Support Its AI PaaS, Empowering Developers to Build and Deploy GenAI Applications With Ease | DataStax

DataStax has enhanced its Astra DB extension for GitHub Copilot to support its AI Platform-as-a-Service (AI PaaS), enabling developers to build and deploy generative AI applications more efficiently.... The update introduces features like database creation and Langflow flow generation directly through GitHub Copilot, streamlining workflows and reducing development time.

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New AI Platform Launched at RAG++ Event with Partners | DataStax

DataStax has launched major updates to its Generative AI platform, enhancing RAG application development speed by 100 times. The updates include the release of Langflow 1.0, a visual framework for RA...G applications, and new partnerships with companies like Unstructured and Mistral AI. These advancements aim to simplify AI application development and improve data handling and embedding processes.

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Announcing DataStax AI Platform, Built with NVIDIA AI | DataStax

DataStax has launched the DataStax AI Platform, built with NVIDIA AI, designed to reduce AI development time by 60% and enhance AI workload performance by 19 times. This platform integrates with NVID...IA AI Enterprise software, offering enterprises a comprehensive AI solution for development and production. Key features include DataStax Langflow, NeMo Customizer, and NeMo Evaluator, providing tools for AI application development, data management, and model fine-tuning.

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Astra Vectorize with Microsoft Azure AI and OpenAI Integrations | DataStax

DataStax launched Astra Vectorize, a feature that integrates with OpenAI and Microsoft Azure AI to simplify embedding generation for developers. This addition to Astra Data API allows automatic vecto...r embedding of unstructured data, enhancing developer efficiency by focusing on application logic rather than embedding complexities. The integration with Azure OpenAI provides security and advanced AI capabilities, reaffirming DataStax's commitment to empowering developers.

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DataStax Launches New Hyper-Converged Data Platform Giving Enterprises the Complete Modern Data Center Suite Needed for AI in Production - FinTech Futures

DataStax has announced the launch of its Hyper-Converged Data Platform (HCDP) and the upcoming release of DataStax Enterprise (DSE) 6.9. HCDP is designed for modern data centers, integrating OpenSear...ch and Apache Pulsar to enhance AI capabilities and data retrieval. DSE 6.9 introduces generative AI features and vector search capabilities to existing on-premises data, aiming to reduce costs and improve operational efficiency.

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DataStax Expands Astra DB Extension for GitHub Copilot to Support Its AI PaaS, Empowering Developers to Build and Deploy GenAI Applications With Ease - Business Wire

DataStax expanded Astra DB's GitHub Copilot extension to support AI PaaS, helping developers easily build and deploy generative AI applications.

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DataStax Announces DataStax AI Platform, Built with NVIDIA AI - Business Wire

DataStax launched the DataStax AI Platform, created in collaboration with NVIDIA AI.

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Strategic Partnerships and Integrations of DataStax Enterprise

 

Wikimedia Deutschland Launches AI Knowledge Project in Collaboration with DataStax Built with NVIDIA AI | DataStax

Wikimedia Deutschland has partnered with DataStax to launch an AI knowledge project using DataStax's AI platform and NVIDIA AI technology. This collaboration enables the ingestion and embedding of 10... million Wikidata articles in under three days, enhancing accessibility for the open-source AI/ML community. The project aims to provide real-time, multilingual data access, leveraging Astra DB's serverless model and NVIDIA NeMo for scalability and efficiency.

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DataStax partners with OpenSearch to enhance generative AI search - IT Brief Australia

DataStax has partnered with the OpenSearch Software Foundation to drive integration efforts supporting generative AI developers. The collaboration will focus on enhancing retrieval-augmented generati...on (RAG) capabilities, combining DataStaxs real-time AI database technology with OpenSearchs open-source search platform. This partnership aims to improve contextual data retrieval for large language models, advancing enterprise AI search solutions.

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Wikimedia Deutschland Launches AI Knowledge Project in Collaboration with DataStax Built with NVIDIA AI - Tech Funding News

Wikimedia Deutschland and DataStax collaborate on an AI knowledge project using NVIDIA AI technology.

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Mergers, Acquisitions, and Business Moves by DataStax Enterprise

 

IBM Officially Closes Acquisition of DataStax

IBM has officially completed its acquisition of DataStax, a leading provider of cloud-native NoSQL database technology. This move strengthens IBM's data and AI platform offerings by integrating DataS...tax's expertise in scalable, real-time data management for enterprise applications.

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Awards, Recognitions, and Industry Achievements of DataStax Enterprise

 

DataStax Named the Leader in Vector Databases on G2

DataStax has been recognized as the leader in vector databases by G2, a top software review platform. This distinction highlights DataStaxs strength in AI-ready database technology, reflecting high c...ustomer satisfaction and strong market presence in the vector database segment.

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Other Related News and Updates from DataStax Enterprise

 

Better Vector Search with Graph RAG

DataStax introduces Graph RAG, enhancing AI responses by organizing information into interconnected webs for improved vector search and retrieval-augmented generation.

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