Apache AGE® is a PostgreSQL extension that provides graph database functionality. Apache AGE provides graph data processing and analytics capability to all relational databases. This article will explore how to set up Amazon Web Services (AWS), deploy the Apache AGE Docker image, and query the PostgreSQL database running in the Docker container on Amazon Web Services (AWS). Prerequisites AWS…
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Apache AGE serves as an open-source graph database, akin to Neo4j. Although they share similar functionalities, they also exhibit significant differences. AGE stands out as a PostgreSQL extension which leverages the capabilities of a relational database (RDBMS), enabling users to seamlessly integrate both relational data (tables) and graph data, which is a key strength setting it apart from Neo4j…
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PostgreSQL is a true gem among open-source relational database management systems. Its impressive robustness, flexibility, and scalability make it a favourite choice for many developers and businesses alike. One of the most crucial components of any database system is how it manages and allocates data. In this article, we'll take a deep dive into PostgreSQL's data allocation process to reveal its…
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◾ Apache AGE: Graph Database for PostgreSQL Apache AGE extends PostgreSQL, transforming it into a graph database. This enables handling complex data relationships and graph structures, supplemented by the power of Cypher queries for graph-specific operations. ◾ PostGraphile: GraphQL API from PostgreSQL Schema PostGraphile is a tool for building a GraphQL API on top of an existing PostgreSQL schema…
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Graph database have gained popularity in recent years due to their ability to handle complex relationships between data. Unlike traditional relational database, which store data in tables, graph database represent data as nodes, edges, and properties. Nodes represent entities, edges represent the relationships between those entities, and properties represent the attributes of both. PostgreSQL, a…
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Following our previous article on Hyperconnected data, this article will delve deeper into the applications of graph-based machine learning specifically in the realm of e-commerce data. We will explore the practical implementation of unsupervised learning-based 'Graph Clustering' and supervised learning-based 'Graph node/Link Prediction' techniques, highlighting their significance in storing and…
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Hyper-connectivity implies that everything is connected — people, data, and things — depending on the development of the internet, communication technologies, and more. When individuals generate data from various sources, such as technology or environmental sensors, the resultant connection networks are referred to as the hyper-connected society. With this heightened level of connectivity…
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Cybersecurity Background In today's world, the internet has transformed how we connect, work, and access information, bringing unparalleled convenience and connectivity. This digital revolution, however, has its challenges, especially in cybersecurity. As we depend more on technology, the need to protect sensitive data and counteract cyber threats becomes increasingly critical. Cybersecurity is…
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n just a matter of a year, ChatGPT has taken the world by storm, ushering in a new era of AI transformation. Its remarkable text-to-text generation capabilities have set new standards for informative and high-quality responses. Knowledge creation AI models like ChatGPT excel at engaging in conversations and retrieving information from vast databases. However, while it produces accurate and diverse…
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Introduction to Graph Databases with Apache AGE and LangChain Integration Integrating LangChain with Apache AGE can significantly enhance graph database applications by enabling conversational AI capabilities. This integration allows users to query and interact with graph databases using natural language, making complex data more accessible and user-friendly. Below is a comprehensive guide on how…
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Graph databases are like digital maps that show how different pieces of information are connected. Apache AGE makes these maps using the popular relational database called PostgreSQL, making it smarter. Graphizer is a tool developed by Bitnine for Apache AGE to make creating and understanding these maps easier for everyone. The Need for Simplicity in Graph Databases Starting with graph databases…
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