Vector Databases for Enterprise AI Semantic Retrieval Systems for RAG, Search, and AI Applications (Emma McGrattan)（Z-Library）

Author： Emma McGrattan

Enterprise generative AI has reached a turning point. Pilots have proven the models work. What's struggling is the infrastructure underneath them. Vector Databases for Enterprise AI gives architects and platform engineering leaders the grounding they need to get this right. This focused guide covers how vector embeddings and similarity search work, how to integrate vector databases responsibly into your existing data estate, and what trust, governance, and lifecycle management look like in real production environments.