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Artificial Intelligence (AI) has revolutionized software applications, making them more interactive, intelligent, and user-friendly. LangChain4j, a Java-based implementation of LangChain, allows seamless integration of AI into Spring Boot applications. In this article, we will walk you through the process of creating an AI assistant using LangChain4j in a Spring Boot application. Introduction to LangChain4j LangChain4j is an extension of LangChain, a powerful framework for building applications that leverage language models like OpenAI’s GPT. This Java-based library facilitates: Simplified AI model ... How To Create An AI Assistant With LangChain4j In A Spring Boot Application
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Automated testing plays a crucial role in software development by ensuring code reliability, maintainability, and efficiency. Python, with its rich ecosystem of testing frameworks, provides a powerful toolkit for test automation. This article explores effective practices for Python test automation, including best tools, strategies, and coding examples. Choosing the Right Testing Framework Python offers several testing frameworks, each with unique capabilities. The most popular ones include: unittest: Built into Python, ideal for small to medium-sized projects. pytest: More flexible and ... Effective Practices for Python Test Automation
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Network security is an essential aspect of any IT infrastructure. With the increasing number of cyber threats, organizations must regularly scan their networks for vulnerabilities. One effective way to do this is by building a network vulnerability scanner. In this article, we will explore how to build a network vulnerability scanner using Golang. Introduction to Network Vulnerability Scanning Network vulnerability scanning is the process of identifying security weaknesses in a network. This includes checking open ports, detecting outdated software versions, ... Building a Network Vulnerability Scanner with Golang
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Continuous Integration and Continuous Deployment (CI/CD) pipelines are crucial for modern software development, allowing teams to automate code integration, testing, and deployment. However, without adequate security measures, these pipelines become an easy target for attackers. This article explores how to secure CI/CD pipelines using integrated security checks, static analysis, dependency scanning, and container security, with practical coding examples. Importance of Security in CI/CD Pipelines CI/CD pipelines, if left unsecured, pose multiple risks, including unauthorized code injection, dependency poisoning, and supply ... How To Secure CI/CD Pipelines With Integrated Security Checks, Static Analysis, Dependency Scanning, And Container Security
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NoSQL databases have become increasingly popular for their flexibility, scalability, and schema-less nature. Java developers working with NoSQL databases often seek a standardized approach to integration. In this article, we explore how to integrate NoSQL into Java using standard annotations, a fluent API, support for multiple NoSQL types, and the Jakarta NoSQL 1.0 framework. Introduction to NoSQL Integration in Java NoSQL databases differ significantly from traditional relational databases. They include key-value stores, document databases, column-family stores, and graph databases. To ... How To Integrate NoSQL Into Java With Standard Annotations, A Fluent API, And Support For Multiple NoSQL Types
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Amazon Bedrock is a powerful managed service that allows developers to build and scale generative AI applications without managing infrastructure. Amazon Nova, one of its foundation models, supports video generation, making it a useful tool for businesses that need AI-driven content creation. In this guide, we will explore how to generate videos using Amazon Nova on Amazon Bedrock with Java. We will cover setup, authentication, API usage, and provide detailed code examples. Prerequisites Before diving into the implementation, ensure that ... How To Generate Videos Using Amazon Nova On Amazon Bedrock With Java
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Building a RESTful API is an essential skill in modern web development, and leveraging AI tools like ChatGPT can significantly speed up the development process. This article walks you through creating a RESTful API using Spring Boot, Gradle, and deploying it to Heroku, with detailed coding examples. Setting Up the Project Before diving into the code, ensure you have the necessary prerequisites installed: Java (JDK 17+ recommended) Gradle Spring Boot Heroku CLI Git To set up a new Spring Boot ... How to Create a RESTful API Using ChatGPT, Spring Boot, Gradle, and Heroku
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React Native is an excellent choice for building mobile applications, including chat apps, due to its cross-platform capabilities and extensive community support. In this guide, we will walk through the process of creating a chat app for Android using React Native. By the end, you’ll have a functional messaging app that can send and receive messages in real-time. Prerequisites Before starting, ensure you have the following installed: Node.js React Native CLI Android Studio (for emulator or physical device testing) Firebase ... How To Build A React Native Chat App For Android
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Artificial Intelligence (AI) is revolutionizing the way enterprises operate, but Large Language Models (LLMs) have inherent limitations in accuracy, automation, and decision-making. Retrieval Augmented Generation (RAG) and AI Agents address these gaps by improving factual consistency, optimizing workflows, and enabling more informed decisions. This article explores how these technologies enhance enterprise AI with code examples to illustrate their impact. Understanding Retrieval Augmented Generation (RAG) What is RAG? Retrieval Augmented Generation (RAG) is a technique that combines retrieval-based models with generative ... How Retrieval Augmented Generation and AI Agents Improve Enterprise AI
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Data lakes have become a central component of modern data architectures, enabling organizations to store vast amounts of structured, semi-structured, and unstructured data. However, managing, querying, and ensuring the reliability of data lakes pose significant challenges. Apache Doris and Apache Iceberg are two open-source projects that are redefining how data lakes work by enhancing performance, manageability, and analytical capabilities. Understanding Apache Doris Apache Doris is a high-performance, real-time analytical database that is designed for interactive queries and high-throughput analytical workloads. ... How Apache Doris and Iceberg Are Redefining the Way Data Lakes Work
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Django is a powerful web framework that enables developers to build robust applications quickly. However, improper use of Django’s features can lead to messy dependencies and bloated views, making applications difficult to maintain and scale. This article explores common mistakes that contribute to these issues, along with solutions and best practices. 1. Overloading Views with Business Logic One of the most common mistakes in Django development is placing too much logic inside views. This leads to tightly coupled code, making ... Common Django Mistakes That Cause Messy Dependencies and Logic-Heavy Views
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Microsoft Graph API is a powerful unified endpoint for accessing and managing various Microsoft 365 services, including users, groups, devices, and security features. With RESTful principles and OAuth 2.0 authentication, administrators can efficiently manage user identities, groups, and devices programmatically. Introduction to Microsoft Graph API Microsoft Graph API enables developers and IT administrators to interact with Microsoft 365 services using a single endpoint: https://graph.microsoft.com. It supports a wide range of functionalities, including: User identity management Group administration Device management Security ... Effective Administration of User Identities, Groups, and Devices with Microsoft Graph REST API