What is RAG API and How Does it Work?
This guide explores the RAG API, its functionality, key components, and practical applications, providing a clear understanding of how it enhances AI-driven retrieval and generation.
Imagine an AI system that not only generates text but also pulls in real-time, contextually relevant data to enhance its responses. Sounds like science fiction, right? Yet, this is precisely what Retrieval-Augmented Generation (RAG) APIs achieve. While traditional AI models often stumble when faced with outdated or incomplete information, RAG APIs bridge this gap by dynamically integrating external knowledge into their outputs.
