In this document, we will explore the process of building an end-to-end Retrieval-Augmented Generation (RAG) multi-agent application tailored for an AI product development team. The goal is to create a system that leverages the strengths of multiple agents to enhance productivity, streamline workflows, and facilitate collaboration. This guide will cover the essential components, architecture, and […]

Retrieval Augmented Generation also known as (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response. In the the rapidly evolving landscape of AI and natural language processing (NLP), RAG Techniques have emerged as a […]