The Model Context Protocol (MCP) is designed to facilitate seamless interoperability between AI-driven applications and external data systems. Its architecture consists of several core elements: MCP Clients: These are AI...
Continue readingDiscover how the Model Context Protocol (MCP) standardizes AI integration, enabling secure, modular, and scalable connections between large language models, external data, and services—reducing development complexity and enhancing real-time, context-rich AI experiences.
Seamless Multi‑IdP Login in Keycloak (No “User already exists” Errors) This short document outlines how to achieve a seamless authentication flow in Keycloak where the same end user can log…
Learn how to configure a Keycloak client for secure API-based user creation via API. Step-by-step guide covering scopes, roles, and Postman testing for quick validation.
In an era where visual communication is paramount, understanding how to effectively leverage technology can set you apart. Generative AI tools offer unprecedented opportunities to create stunning visuals that not…
Do you know how sometimes you’re trying to explain something to a friend, but you’re not quite sure how to get your point across? Well, working with AI is a…
The brief overview of Google Analytics, a tool used to understand website traffic patterns and optimize content and structure. It covers topics such as real-time traffic, audience demographics, acquisition sources, behavior analysis, and conversions. The text also explains how to set up a Google Analytics account for your website.
Hey everyone! we’re going to explore how to assess responses from large language models using the RACCCA framework. This framework includes six key elements: relevance, accuracy, completeness, clarity, coherence and…
In this article, we want to introduce you to Large Language Models, especially OpenAI’s ChatGPT. We’ll also explore the significance of prompt engineering done responsibly and how it contributes to the ethical and beneficial use of progress in artificial intelligence.
This text is an overview of Google’s recommendations for optimizing web content to improve search engine ranking, focusing on SEO best practices
When using the NPM package, there are certain conditions where we need to install the NPM package that is private and only specific to our use case. This package is…
GCP Cloud monitoring provides visibility into the performance, availability, and overall health of cloud-based applications. Cloud Monitoring collects metrics, events, and metadata from Google Cloud, Amazon Web Services, hosted availability…
In this article, we will create a simple golang webapp using microframework fiber. Then we will run in our local system using the docker container. Then after is done on…
Firebase is a platform for building backend-as-a-service (Bass) mobile and web applications. This quest will teach you how to create serverless web apps, import data into a serverless database, and create a Google Assistant app using Firebase and its Google Cloud integrations.
The Rest API and Firestore database will be used to build a frontend solution in this tutorial. We can store, sync, and query data for our mobile and web apps at scale using Cloud Firestore, a NoSQL document database that is a component of the Firebase platform. The information is based on using the serverless infrastructure provided by Google Cloud to resolve a real-world issue.