Catégorie : R&D

RAG & Embeddings A Hybrid Architecture at the Core of Modern AI What is RAG? Retrieval-Augmented Generation (RAG) is an architecture that combines two major components of natural language processing: This approach overcomes the limitations of fine-tuning by dynamically integrating external…

The Core of RAG: Embeddings For RAG (Retrieval-Augmented Generation) to function effectively, it needs a mechanism capable of intelligently comparing text, even if phrased differently. This is where embeddings come into play. What is an embedding? An embedding is a mathematical…

At COGNIWAVE DYNAMICS, we specialize in developing tailored RAG solutions finely tuned to your specific organizational needs What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is an advanced artificial intelligence method combining two core technologies: This integration ensures that generated responses are consistently…