DataStax’s real-time data architecture ensures that agents have immediate access to relevant information.

How DataStax is Simplifying AI Agent Development

Nvidia and DataStax launch new AI tool that reduces enterprise data storage costs by 35x while enabling multilingual retrieval, transforming how companies like Wikimedia process and access massive datasets.

Nvidia and DataStax just made generative AI smarter and leaner - here’s how

Chet Kapoor talked Nvidia, regulation, and building out enterprise generative AI in the latest episode of Quartz AI Factor

AI regulation will slow innovation to speed it up: DataStax CEO

Reduces AI Development Time by 60%; Handles AI Workloads 19x Faster;Enterprises Can Create AI That Increases In Accuracy As Customers Engage

DataStax Announces DataStax AI Platform Built with NVIDIA AI

DataStax looks to improve enterprise AI production deployment with Nvidia, using Langflow as the center for building agentic AI workflows.

DataStax looks to help enterprises stuck in AI 'development hell', with a little help from Nvidia

DataStax CEO Chet Kapoor says current challenges in AI are a normal part of technological revolution and 2025 will see true transformation.

DataStax CEO: 2025 will be the year we see true AI transformation

DataStax debuts a series of tools to improve enterprise RAG including Langflow 1.0, Vectorize and RAGStack 1.0.

DataStax looks to help enterprises escape RAG 'Hell' with AI tools update

DataStax introduces Hyper Converged Data Platform that can be deployed on-premises, in the cloud or at the edge, to support enterprise AI and database requirements.

DataStax previews new Hyper Converged Data Platform for enterprise AI

The CPO from DataStax joins the AI Impact tour to dive into the challenges of going beyond ideation and putting gen AI into production.

AI Impact Tour: How companies are going from ideation to real-world implementation

DataStax acquires Langflow, an open-source platform for building retrieval-augmented generation applications, to accelerate enterprise adoption of generative AI and simplify AI app development.

DataStax acquires Langflow to accelerate enterprise generative AI app development

“The potential of today’s new era of AI can only be fully realized, in my opinion, if organizations have a strategy to unify data from multiple sources in near real-time without creating numerous copies of data and going through constant iterations of ...

IBM Unleashes the Potential of Data and AI with its Next-Gen IBM Storage Scale System 6000

Its fall 2023 platform release jump-starts GenAI innovation by transforming Domino’s AI Project Hub into an AI ecosystem hub with contributions from cutting-edge AI companies, reduces time to value with expanded data ... to build machine learning models ...

Domino Data Lab Unveils New Generative AI Capabilities in Latest Platform Release

DataStax

A look at two databases that have made claims to the Kubernetes native label: TiDB and DataStax Astra DB.

Kubernetes-Native Database: TiDB Vs. DataStax Astra DB

Understand why integrating AI agents into enterprise architectures marks a transformative leap in the way organizations approach automation.

AI Agents: How They're Getting Ready to Blow Up the Business Process Layer

Learn about the infrastructure that supports orchestration across many moving parts and a long history of data and context needed to build agentic systems.

Behind AI Agents: The Infrastructure That Supports Autonomy

Learn how vector search helped build a powerful way to identify recurring payments in the financial sector.

How Vector Search Cracks the Code on Contract Analytics 

Rerankers are ML models that take a set of search results and reorder them to improve relevance. We tested 6 of them. 

Vector Search: A Reranker Algorithm Showdown

We show how content-centric knowledge graphs – a vector-store allowing links between chunks – are an easy to use and efficient approach to improve RAG results.

How to Save $70K Building a Knowledge Graph for RAG on 6M Wikipedia Pages

Learn about the role of LLMs in text2SQL, discuss the challenges inherent in this capability, and explore SherloQ, a new text2SQL engine from the Skypoint team.

How to Build a Production-Grade Text2SQL Engine

A dive into multi-modal embedding and frame search, two advanced video search techniques

Building Advanced Video Search: Frame Search Versus Multi-Modal Embeddings

As Generative AI apps move toward production, the stage is set for companies to start seeing real, consumption-based gains contributing to their bottom lines

When Will Infrastructure Companies See Gains from Generative AI?

This post explores the use of knowledge graphs for RAG, using DataStax Astra DB for storage. The code for the examples is in this notebook using some prototype 

How to Use Knowledge Graphs for Retrieval-Augmented Generation—Without a Graph DB

Learn about ColBERT, a new way of scoring passage relevance using a BERT language model that substantially solves the problems with dense passage retrieval. 

How ColBERT Helps Developers Overcome the Limits of RAG

Learn about a simple method for combining vector stores, lexical search and prompt engineering to perform accurate RAG on commodity hardware.

Want to Learn Warhammer 40K? Build This Chatbot with Vectors and RAG on Commodity Hardware

DataStax is the real-time data company for building production GenAI applications.

DATASTAX

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DataStax's stories on HackerNoon

Kubernetes-Native Database: TiDB Vs. DataStax Astra DB

AI Agents: How They're Getting Ready to Blow Up the Business Process Layer

Behind AI Agents: The Infrastructure That Supports Autonomy

How Vector Search Cracks the Code on Contract Analytics

Vector Search: A Reranker Algorithm Showdown

How to Save $70K Building a Knowledge Graph for RAG on 6M Wikipedia Pages

How to Build a Production-Grade Text2SQL Engine

Building Advanced Video Search: Frame Search Versus Multi-Modal Embeddings

When Will Infrastructure Companies See Gains from Generative AI?

How to Use Knowledge Graphs for Retrieval-Augmented Generation—Without a Graph DB

How ColBERT Helps Developers Overcome the Limits of RAG

Want to Learn Warhammer 40K? Build This Chatbot with Vectors and RAG on Commodity Hardware

DataStax's latest news & mentions

How DataStax is Simplifying AI Agent Development

Nvidia and DataStax just made generative AI smarter and leaner - here’s how

AI regulation will slow innovation to speed it up: DataStax CEO

DataStax Announces DataStax AI Platform Built with NVIDIA AI

DataStax looks to help enterprises stuck in AI 'development hell', with a little help from Nvidia

DataStax CEO: 2025 will be the year we see true AI transformation

DataStax looks to help enterprises escape RAG 'Hell' with AI tools update

DataStax previews new Hyper Converged Data Platform for enterprise AI

AI Impact Tour: How companies are going from ideation to real-world implementation

DataStax acquires Langflow to accelerate enterprise generative AI app development

IBM Unleashes the Potential of Data and AI with its Next-Gen IBM Storage Scale System 6000

Domino Data Lab Unveils New Generative AI Capabilities in Latest Platform Release

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