Artificial intelligence (AI) is transforming how businesses operate, and one of the most exciting areas is Retrieval Augmented Generation (RAG). RAG allows AI models to answer questions and generate content by accessing and referencing external data, making them far more accurate and relevant. But for
Large Language Models (LLMs) have revolutionized many aspects of technology and business. However, the effectiveness and accuracy of these models are heavily reliant on the quality and currency of the data they are trained on. Feeding LLMs with fresh data is not just a best
Data governance and artificial intelligence (AI) are two powerful forces shaping the future of organizations. When combined, they offer immense potential but also introduce complex challenges. RheoData, the subject matter experts, will outline the positives and negatives of this intersection. Positives of Data Governance and
As AI Experts,RheoData understands the increasing integration of Artificial Intelligence (AI) into various aspects of business operations. With this integration comes the critical need to address AI ethics, particularly how AI should be used without bias to accomplish tasks set out by management. This post
Introduction This document outlines the benefits of leveraging Oracle GoldenGate for replicating vectors to enhance AI applications. Oracle GoldenGate provides real-time data replication, enabling AI models to access the most current and relevant information. This capability is crucial for applications requiring up-to-date insights, such as
Building a Data Governance Framework Data governance is crucial for any organization looking to leverage its data effectively. It provides a structured approach to managing, using, and protecting data assets. Let’s break down how to build a data governance framework in a simple and understandable
Data Governance with Oracle GoldenGate This document outlines how Oracle GoldenGate contributes to and supports data governance practices within an organization. Introduction Data governance is crucial for maintaining data quality, security, and compliance. Oracle GoldenGate, a comprehensive data integration and replication software, plays a significant
Data Governance Explained Data governance is the overall management of the availability, usability, integrity, and security of data in an organization. In simpler terms, it’s about making sure the right people have the right data at the right time, and that the data is accurate
One of the biggest issues with Oracle GoldenGate over the years has been the database permissions needed for the GoldenGate Admin to use the product. Over the years, many users, admins, and consultants have tried to write scripts that would alleviate this concern. Ultimately, some
Artificial Intelligence (AI) is buzzing in today’s enterprise circles. Let’s briefly examine using AI in data integration, specifically with Oracle GoldenGate. First, what are the benefits of AI in data integration? Using AI in data integration offers several significant benefits, enhancing data management processes’ efficiency,
In the dynamic landscape of modern technology, few fields hold as much promise and potential as Artificial Intelligence (AI) and Machine Learning (ML). These innovative technologies have revolutionized industries across the globe, from healthcare to finance, manufacturing to entertainment. The demand for AI and ML
Oracle GoldenGate has long been the go-to solution for real-time data integration, and with the release of Oracle GoldenGate 23ai, it just got even better. Packed with innovative features and enhancements, this latest version takes data replication and synchronization to new heights, empowering organizations to
Oracle has recently, May 2, 2024, unveiled Oracle Database 23ai, packed with innovative AI capabilities that are transforming the way businesses manage and analyze their data. Among these cutting-edge features is AI Vector Search, a game-changer for organizations seeking to unlock valuable insights from complex
This post is the first of a three-part series where I’m going to show you how to use pre-configured machine learning models to embed vectors into the Oracle Database. Before I dive into how to load a pre-trained machine learning models with ONNX, it
If you have been following the last few blog posts, this is the final one with regards to setting up similarity search with Oracle’s upcoming vector datatype. This unique datatype enables you to be similarity search within your applications quickly and easily while keeping
In my last two posts I showed you what the Oracle Vector Datatype is and how to update existing data after adding a vector datatype column. In this post, we are going to quickly look at how to use those examples to implement a “similarity
In my last blog post on Oracle’s Vector data type, I simply showed you how the datatype is used within an Oracle table. In this blog post, we are going to dive a bit deeper and provide some context with it regardiing to updating
At Oracle Cloud World 2023, Oracle announced they were moving toward enabling Artificial Intelligence (AI) within many of their products. Oracle is making huge steps forward for many people to use AI daily. As 2023 ended, many other industry leaders announced they would do the
What is LLMOps? LLMOps, or Large Language Model Operations, refers to the set of practices and tools used to manage, streamline, and operationalize large language models. LLMOps is a cross between LLM and MLOps. LLMs – are a type of foundation model that cna perform
The banking and financial services (BFSI) industry has entered a new era spearheaded by disruptive, tech-savvy and well-funded fintechs, expanding the boundaries of open banking. Organizations like Revolut, Robin Hood and Progressive Insurance have changed the model for their industry, and competitors—especially legacy enterprises—are