By seamlessly combining the strengths of retrieval-based and generative models, RAG's innovative
architecture signifies a substantial leap forward in the field of generative AI. Explore these
groundbreaking advancements in artificial intelligence with our latest white paper, "Retrieval
Augmented Generation (RAG): A New Architecture for Generative AI."
What You Will Learn
Understanding RAG Architectures
Dive deep into the innovative framework of Retrieval Augmented Generation and grasp its core principles.
Comparison with Traditional Generative Models
Learn how RAG revolutionizes the field by surpassing the limitations of traditional generative models.
RAG Training Process and Optimization Techniques
Gain insights into the training methodologies and optimization techniques driving RAG's efficiency.
How RAG Generates Responses Based on Retrieved Information
Uncover the mechanics behind RAG's ability to generate responses by leveraging retrieved knowledge.
RAG Applications, Use Cases, and Challenges
Explore the diverse applications, real-world use cases, and the challenges faced by this cutting-edge technology.