“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

Generative AI applications built with RAG stacks require a vector-enabled database and an orchestration framework like LangChain, to provide memory or context to LLMs for accurate and relevant answers. Developers use LangChain as the leading AI-first toolkit to connect their applications to different data sources.

DataStax LangChain integration builds new link to gen-AI for developers

The need to accelerate AI initiatives is real and widespread across ... models can reduce development time with scalable secure solutions that would revolutionize how easily you can capture, store, analyze, and use data to be more competitive.

Kickstart Your Business to the Next Level with AI Inferencing

DataGPT, a leading provider of conversational AI data analytics software, recently announced the launch of the DataGPT AI

DataGPT Announces DataGPT AI Analyst, Bridging the Gap Between LLMs and Advanced Analytics

Joe McKendrick, research analyst at Unisphere, and Robert Stanley, senior director special projects at Melissa Informatics, joined DBTA's webinar, The State of Data Quality: The Elephant in the AI Room,

The Clash Between Data Quality and AI: Unisphere’s Latest Findings

Aditi Gupta discusses the design choices made early on during service development that were crucial to scaling operations later on at Netflix.

Scaling Defenses Amidst Evolving Threat Landscape

The Horseracing Integrity and Safety Authority (HISA) is collaborating with Amazon Web Services (AWS) to apply data analytics, machine learning and artificial intelligence to ... Under HISA, for the first time in the sport's history, uniform reporting ...

HISA, Amazon Web Services Partner To Use Data Analytics, Artificial Intelligence To Reduce Equine Injuries

In this sponsored post, Devika Garg, PhD, Senior Solutions Marketing Manager for Analytics at Pure Storage, believes that in the current era of data-driven transformation, IT leaders must embrace complexity by simplifying their analytics and data footprint.

Achieving Faster Time To Insights with Modern Data Pipelines

DataStax today announced a new integration with LangChain, the most popular orchestration framework for developing

DataStax Launches New Integration with LangChain, Enables Developers to Build Production-ready Generative AI Applications

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

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

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

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