In the rapidly evolving landscape of artificial intelligence, the development of Agentic AI and Retrieval-Augmented Generation (RAG) applications is transforming the way we interact with information. By leveraging proprietary and open-source Large Language Models (LLMs), along with advanced techniques like embeddings and vector databases, we can create powerful applications that revolutionize knowledge retrieval and interaction. This article delves into how these technologies work together to enable semantic searches and the creation of appl... Read More