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AI agents have become a cornerstone of modern applications, powering everything from chatbots to autonomous vehicles. At the heart of many advanced agents lies the ReAct pattern — a reasoning-acting loop that enables a language model to interact with external tools. This article walks you through building such an agent from scratch using Python ...

Advanced RAG Techniques Overview Recent developments in retrieval-augmented generation have led to three distinct paradigms: Naive RAG Advenced RAG Modular RAG This article explores these approaches and demonstrates how to implement an advanced RAG pipeline using LlamaIndex with Python. We'll cover three key optimization techniques: Pre-retr ...

Introduction to Spring AI for Chatbot Development Integrating artificial intelligence into applications is a growing trend, and frameworks like Spring AI simplify this processs for Spring Boot developers. Spring AI provides a robust, open-source solution for incorporating AI capabilities into Java-based applications, enabling features from auto ...

Core Prompt Design Principles Assigning a Persona Use the system message to define a distinct identity for the model. This sets the tone and perspective for all subsequent responses. import openai openai.api_key = "your-api-key" response = openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=[ {&qu ...