What's New
Go to:Kinetica, the GPU-powered RAG (Retrieval Augmented Generation) engine, is now integrating deeply with NVIDIA Inference Microservices for embedding generation and LLM inference. This integration allows users to invoke embedding and inferencing models provided by NIM directly within Kinetica, simplifying the development of production-ready generative AI applications that can converse with and extract insights from enterprise…
Every moment, trillions of entities—vehicles, stock prices, drones, weather events, and beyond—are in constant motion. Imagine the vast opportunities and insights we could uncover by monitoring these objects and detecting pivotal events as they unfold, in real time. Such a task demands an analytical engine that can ingest high velocity data streams, execute sophisticated queries…
We are thrilled to announce that Kinetica has now joined the Connect with Confluent Partner program. This collaboration merges the unparalleled speed of Kinetica’s GPU-accelerated database with the data streaming capabilities of Confluent Cloud, delivering insights on high-velocity data streams in mere seconds. Why This Partnership Matters Confluent is at the forefront of streaming data…
You’ve seen how Kinetica enables generative AI to create working SQL queries from natural-language questions, using data set up for the demonstration by Kinetica engineers. What about your data? How can you make Kinetica respond to real SQL queries about data that belongs to you, that you work with today, using conversational, natural-language questions, right…
I think one of the most important challenges for organizations today is to use the data they already have more effectively, in order to better understand their current situation, risks, and opportunities. Modern organizations accumulate vast amounts of data, but they often fail to take full advantage of it because they struggle finding the right…
In the press
