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Tag: API

  • Using MuleSoft Connectors

    Using MuleSoft Connectors Using MuleSoft Connectors MuleSoft Connectors are pre-built components that simplify the integration process by providing seamless connectivity to various systems, applications, and protocols. They abstract away the complexities of underlying technologies, allowing developers to focus on business logic. Salesforce Connector Details: The Salesforce Connector enables interaction with Salesforce APIs (REST, SOAP, Bulk,… Read more

  • GCP Specific Tech Stacks for AI Context Management

    GCP Specific Tech Stacks for AI Context Management Sample Tech Stack 1: For a Large-Scale NLP Application with Knowledge Graph Integration on GCP Knowledge Graph: Google Cloud Knowledge Graph Vector Embeddings: Vertex AI Feature Store Consider Compute Engine or Vertex AI Workbench for open-source libraries (FAISS, Annoy, ChromaDB). Explore Vertex AI Matching Engine for managed… Read more

  • Top Features Introduced in Java 21

    Top Java 21 Features Top Features Introduced in Java 21 Java 21, released in September 2023, brought several significant enhancements and new features to the platform. Here are some of the top features that developers should be aware of: 1. Virtual Threads (Second Preview) Virtual Threads are lightweight threads that dramatically reduce the effort of… Read more

  • Evaluating Performance for Large-Scale Real-Time Data Processing

    Evaluating Language Performance for Large-Scale Real-Time Data Processing For large-scale real-time data processing with the highest efficiency, compiled languages that offer low-level control and efficient concurrency mechanisms generally outperform interpreted languages. Here’s an evaluation of the languages you mentioned and others relevant to this task: Top Performers for Efficiency in Large-Scale Real-Time Data Processing: C… Read more

  • Detailed Workflow for Claims Adjudication with AI Integration

    Detailed Workflow for Claims Adjudication with AI Integration The claims adjudication process is being significantly enhanced by the integration of Artificial Intelligence (AI) at various stages. The following workflow highlights where AI tools and techniques can be applied to improve efficiency, accuracy, and speed. Phase 1: Claim Submission and Initial Review – AI Assistance Step… Read more

  • Top 5 AI Video Generation Tools (Storyline) – Comparison

    Top 5 AI Video Generation Tools (Storyline) – Comparison While fully automated AI video generation from complex storylines is still evolving, here’s a look at 5 promising tools and their potential in this area. Please note that the AI landscape is rapidly changing. 1. OpenAI Sora Key Features: Generates realistic and imaginative scenes from text,… Read more

  • Top 5 AI Image Generation Tools – Comparison

    Top 5 AI Image Generation Tools – Comparison Here’s a comparison of five popular AI image generation tools, highlighting their key features, pros, and cons. Please note that the AI landscape is rapidly evolving, and features/pricing may change. Tool Key Features Pros Cons Pricing (as of April 2025) Learn More Midjourney High-quality, artistic image generation;… Read more

  • GCP AI Offerings – Details & Use Cases

    GCP AI Offerings – Details and Use Cases GCP AI Offerings – Details and Use Cases Google Cloud Platform (GCP) offers a comprehensive suite of AI and Machine Learning services, ranging from pre-trained APIs to platforms for building and deploying custom models, including cutting-edge Generative AI capabilities. Generative AI Services: Vertex AI Gemini Models Access… Read more

  • Thriving despite the Rat Race

    Thriving in the Rat Race In the competitive landscape of 2025, often described as a “rat race,” citizens can adopt various strategies to not just survive but thrive. This involves a holistic approach encompassing mental well-being, work-life balance, financial stability, and a sense of purpose that transcends mere competition. 1. Prioritize Mental Well-being: Mindfulness and… Read more

  • Microservices Design Patterns

    Microservices Design Patterns Microservices are a popular architectural style for building scalable and maintainable applications. They involve breaking down a monolithic application into a collection of small, independent services that communicate over a network. Designing a robust microservices architecture requires careful consideration of various patterns to address common challenges. 1. Decomposition Patterns: Decompose by Business… Read more

  • Multi-Threaded Programming in Python

    Multi-Threaded Programming in Python (2025) Multi-threaded programming in Python allows you to run multiple parts of your program concurrently within a single process. This can be beneficial for tasks that involve waiting for external resources (like network requests or file I/O), potentially improving the overall responsiveness of your application. However, due to Python’s Global Interpreter… Read more

  • GraphQL vs RESTful for Agentic AI

    GraphQL vs RESTful for Agentic AI Both RESTful and GraphQL APIs can be used to build agentic AI systems, and the choice between them depends on the specific requirements and characteristics of the AI agent and the systems it interacts with. Here’s a comparison of their suitability: RESTful APIs for Agentic AI: Pros: Simplicity and… Read more

  • Extending n8n with APIs

    Extending n8n with APIs n8n‘s power lies in its ability to connect and automate workflows across a vast ecosystem of applications and services. A fundamental way to expand n8n’s capabilities beyond its built-in nodes is by leveraging Application Programming Interfaces (APIs). APIs allow n8n to interact with virtually any service that exposes programmatic interfaces, enabling… Read more

  • Building Agentic AI applications Using n8n

    Building Agentic AI Using n8n n8n, a powerful open-source workflow automation platform, can be effectively leveraged to build various components and orchestrate the functionalities of agentic AI systems in 2025. While n8n itself isn’t a machine learning framework for training AI models, its ability to connect different services, handle data transformations, and manage complex workflows… Read more

  • Integrating Microservices with Agents in Agentic AI Applications

    Adopting a microservices architecture offers significant advantages when building complex agentic AI systems. By breaking down the application into smaller, independent services, we can enhance scalability, maintainability, and flexibility. Integrating AI agents within this framework allows for a more modular and robust approach to building intelligent systems. Benefits of Integrating Microservices with Agents: Common Integration… Read more

  • Model Context Protocol (MCP) for Agentic AI

    The Model Context Protocol (MCP), primarily developed by Anthropic, is an open protocol designed to standardize how applications provide context (data and tools) to large language models (LLMs), which often serve as the foundation for agentic AI systems. It aims to create a universal and efficient way for AI models to interact with various external… Read more

  • Building Agentic AI Applications on Google Cloud Platform (GCP)

    Google Cloud Platform (GCP) offers a rapidly evolving suite of tools and services for building agentic AI applications – intelligent systems capable of autonomous action, planning, memory, and interaction with their environment. Here’s a detailed overview of key GCP services and concepts, along with relevant links, formatted for your WordPress site. Core Foundation Models Agent… Read more

  • Most Important Cloud Developer Tools in AWS

    Amazon Web Services (AWS) offers a vast array of tools for cloud developers. Identifying the most important ones can streamline your workflow and boost productivity. This article highlights key AWS tools that every cloud developer should be familiar with. 1. AWS Command Line Interface (CLI) Description: The AWS CLI is a unified tool to manage… Read more

  • Top 30 Kafka Interview Questions

    Preparing for a Kafka interview? This comprehensive list of 30 key questions covers various aspects of the distributed streaming platform, designed to help you demonstrate your understanding and expertise. 1. What is Apache Kafka? Answer: Apache Kafka is a distributed streaming platform. It is used for building real-time data pipelines and streaming applications. It provides… Read more

  • Top 30 AWS Cloud Interview Questions

    Preparing for an AWS Cloud interview? This comprehensive list of 30 key questions covers a wide range of AWS services and concepts, designed to help you demonstrate your understanding and expertise. 1. What is AWS? Answer: AWS (Amazon Web Services) is a comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from… Read more

  • Top 20 Databricks Interview Questions

    Preparing for a Databricks interview? This article compiles 20 key questions covering various aspects of the platform, designed to help you showcase your knowledge and skills. 1. What is Databricks? Answer: Databricks is a unified analytics platform built on top of Apache Spark. It provides a collaborative environment for data engineering, data science, and machine… Read more

  • Top 20 React Interview Questions and Answers

    This article presents 20 essential React interview questions with detailed answers, covering a range of fundamental concepts to help you prepare effectively. 1. What is React? Answer: React is a declarative, efficient, and flexible JavaScript library for building user interfaces (UIs) or UI components. It allows developers to create complex UIs from small and isolated… Read more

  • Building an AI Chatbot for Order Status with React.js, Rasa, and Flask

    This article details the development of an AI Chatbot that enables users to inquire about the status of their orders. The implementation utilizes a modern frontend built with React.js, a robust Natural Language Understanding (NLU) and dialogue management framework powered by Rasa, and a simple backend using Python (Flask) to serve order information. I. Core… Read more

  • Agentic AI Tools

    Agentic AI refers to a type of artificial intelligence system that can operate autonomously to achieve specific goals. Unlike traditional AI, which typically follows pre-programmed instructions, agentic AI can perceive its environment, reason about complex situations, make decisions, and take actions with limited or no direct human intervention. These systems often leverage large language models… Read more

  • The Monolith to Microservices Journey: Empowered by AI

    The transition from a monolithic application architecture to a microservices architecture, offers significant advantages. However, it can also be a complex and resource-intensive undertaking. The integration of Artificial Intelligence (AI) and Machine Learning (ML) offers powerful tools and techniques to streamline, automate, and optimize various stages of this journey, making it more efficient, less risky,… Read more

  • The Monolith to Microservices Journey: A Phased Approach to Architectural Evolution

    The transition from a monolithic application architecture to a microservices architecture is a significant undertaking, often driven by the desire for increased agility, scalability, resilience, and maintainability. A monolith, with its tightly coupled components, can become a bottleneck to innovation and growth. Microservices, on the other hand, offer a decentralized approach where independent services communicate… Read more

  • Navigating the Currents of Change: A Comprehensive Guide to Application Modernization

    In today’s rapidly evolving digital landscape, businesses face a constant imperative to adapt and innovate. At the heart of this transformation lies the need to modernize their core software applications. These applications, often the backbone of operations, can become impediments to growth and agility if left to stagnate. Application modernization is not merely about updating… Read more

  • Building a Personalized Bank FAQ Chat Agent with React.js, RAG, LLM, and Redis

    Providing efficient and informative customer support is crucial for any financial institution. A well-designed FAQ chat agent can significantly enhance the user experience by offering instant answers to common queries. This article provides a comprehensive guide to building a personalized bank FAQ chat agent using React.js for the frontend, Retrieval-Augmented Generation (RAG) and a Large… Read more

  • Simplistic implementation of Medallion Architecture (With Code)

    Here we demonstrate a simplistic implementation of Medallion Architecture. Medallion Architecture provides a structured and robust approach to building a data lakehouse. By progressively refining data through the Bronze, Silver, and Gold layers, organizations can ensure data quality, improve governance, and ultimately derive more valuable insights for their business Python Explanation of the Sample Code… Read more

  • Loading documents into OpenSearch for vector search

    Here’s how you can load documents into OpenSearch for vector search: 1. Create a k-NN Index First, you need to create an index in OpenSearch that is configured for k-Nearest Neighbors (k-NN) search. This involves setting index.knn to true and defining the field that will store your vector embeddings as type knn_vector. You also need… Read more