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 […]

Llama 3.1 is out! 23rd of July, facebook announced the next iteration of the Llama family to Hugging Face. It’s exciting for hugging face to collaborate with Meta to ensure the best integration in the Hugging Face ecosystem. Eight open-weight models (3 base models and 5 fine-tuned ones) are available on the Hub. In this […]