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Kinetica Announces Conversational Query – ChatGPT Integration with Analytic Database

insideBIGDATA

Kinetica announced an analytic database to integrate with ChatGPT, ushering in ‘conversational querying.’ Users can ask any question of their proprietary data, even complex ones that were not previously known, and receive an answer in seconds.

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Why Should You Choose Fast GraphRAG Over Vector Databases?

Analytics Vidhya

With its ability to dynamically generate knowledge graphs and seamlessly integrate them into production environments, […] The post Why Should You Choose Fast GraphRAG Over Vector Databases? appeared first on Analytics Vidhya.

Database 224
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Google Gen AI Toolbox: A Python Library for SQL Databases

Analytics Vidhya

Google has introduced the Google Gen AI Toolbox for Databases, an open-source Python library designed to simplify database interaction with GenAI. As part of its public […] The post Google Gen AI Toolbox: A Python Library for SQL Databases appeared first on Analytics Vidhya.

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What is a Vector Database?

Analytics Vidhya

Introduction The use of vector databases has revolutionized data administration. Traditional databases use tables and rows to store and query structured data. appeared first on Analytics Vidhya. They primarily address the requirements of contemporary applications handling high-dimensional data.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the Enterprise

insideBIGDATA

Graph database and analytics leader Neo4jⓇ announced a major transformation of its Aura cloud database management system (DBMS) portfolio – making it dramatically easier for enterprises to try, build, and accelerate graph in production for any workload or use case.

Database 371
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Difference Between Non Relational Database and Relational Database

Analytics Vidhya

For everything to be well coordinated you require tools that will effectively manage the orders, stocks and […] The post Difference Between Non Relational Database and Relational Database appeared first on Analytics Vidhya.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.