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RAG

What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is an AI architecture pattern that combines information retrieval systems with Large Language Models (LLMs) to generate accurate, grounded, and context-aware responses. Instead of relying solely on the model’s internal knowledge, RAG retrieves relevant information from external data sources and provides it to the LLM at inference … Continue reading RAG

LLM

What is a Large Language Model (LLM)? A Large Language Model (LLM) is an advanced deep learning model trained on massive datasets containing text from books, websites, code repositories, and structured documents. LLMs are designed to understand natural language, generate human-like responses, and perform reasoning across a wide variety of tasks. LLMs use transformer-based architectures, … Continue reading LLM

LangChain

Introduction to LangChain LangChain is a powerful open-source framework designed to build applications that leverage Large Language Models in a structured and scalable way. Instead of relying on single prompts or static responses, LangChain enables developers to create multi-step workflows, intelligent agents, and decision-making systems. LangChain abstracts the complexities of prompt management, model interaction, memory … Continue reading LangChain

Rest Assured Python

Introduction to REST Assured In today’s software development landscape, API testing plays a crucial role in ensuring the functionality and reliability of web services. REST Assured is a popular Java-based library that simplifies API testing by providing a powerful and easy-to-use syntax for writing test cases. In this blog, we’ll explore how to set up … Continue reading Rest ...