Vectorization and Embeddings: Principles of AI Knowledge

Description

Dive into the Principles of Vectorization & Embeddings with Raia’s advanced AI training curriculum—designed for anyone building scalable, intelligent AI agents. Part of Raia’s full program on Generative AI, Building AI Agents, and Agentic Design, this lesson breaks down how AI systems understand and process language through mathematical representations. In this session, you’ll learn: What vectorization is and how it converts text into numerical data The role of embeddings in powering semantic search and knowledge retrieval (RAG) How embedding models like Word2Vec and BERT enable smarter, context-aware AI agents Why vectorization forms the foundation of intelligent AI architectures Build a deeper understanding of how AI transforms language into knowledge. Take our free online course on how to train your AI Agent: https://docs.raiaai.com/ai-training/how-to-train-an-ai-agent