Rainy & wet in Seattle. And likely cold in Chicago. Here we go! ** #business #travel #chitown #shootsta #productionlife #seattle #datastax #airplane #wetwing #raining #droplets (at Seattle-Tacoma International Airport (Sea-Tac))

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Rainy & wet in Seattle. And likely cold in Chicago. Here we go! ** #business #travel #chitown #shootsta #productionlife #seattle #datastax #airplane #wetwing #raining #droplets (at Seattle-Tacoma International Airport (Sea-Tac))
“Structural Abstractions in Brains and Graphs“
Transparency and Competency: Key to Harmonizing Innovation and Oversight in GenAI
By Bryan Kirschner, VP of Strategy, DataStax Regulators can keep up with rapid advancements by making transparency a core principle in oversight. Transparency enables understanding of new technologies without requiring full disclosure of proprietary methods. Companies must clearly explain their use of technologies like Gen AI, ensuring visibility into their implications for both regulators and…
DataStax Enhances GitHub Copilot Extension to Streamline GenAI App Development
DataStax has expanded its GitHub Copilot extension to integrate with its AI Platform-as-a-Service (AI PaaS) solution, aiming to streamline the development of generative AI applications for developers. The enhanced Astra DB extension allows developers to manage databases (vector and serverless) and create Langflow AI flows directly from GitHub Copilot in VS Code using natural language commands.…
DataStax Enhances AI Platform with Glean and Unstructured Integrations at RAG++ Event in NYC
Malaysia, 11 September 2024 – DataStax, a leading AI platform company, has announced significant updates to its AI PaaS at the RAG++ event in New York City. The platform now offers enhanced features to improve data relevancy, response times, and throughput for developers working on AI applications. With industry partners such as Glean, Unstructured.io, and NVIDIA, DataStax showcased its latest…
DataStax Launches RAGStack, Simplifying RAG for Generative AI
DataStax has introduced RAGStack, a ready-made solution for implementing retrieval augmented generation (RAG) applications with LangChain. RAG combines retrieval-based and generative AI methods for real-time, contextually relevant responses. RAGStack simplifies the implementation process, providing a preselected set of open-source software, including LangServe, LangChain Templates, LangSmith,…
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DataStax announced launch of RAGStack, an innovative, out-of-the-box RAG solution designed to simplify implementation of RAG.
DataStax, the company that powers generative AI applications with real-time, scalable data, announced a new integration with LangChain.