Vector Space Models and Embeddings in RAGs

In the ever-evolving field of natural language processing, integrating robust retrieval mechanisms with generation models is crucial for creating advanced AI systems. In this course, Vector Space Models and Embeddings in RAGs, you’ll learn to implement effective RAG-based chatbots. First, you’ll explore the foundational concepts of Retrieval-Augmented Generation and understand its significance in enhancing language models. Next, you’ll discover how to represent text data using various embedding techniques, analyzing their properties and limitations. Finally, you’ll learn how to implement these embeddings in a practical RAG system to retrieve relevant information efficiently. When you’re finished with this course, you’ll have the skills and knowledge of RAG needed to develop advanced AI chatbots capable of sophisticated text retrieval and response generation.