Artificial Intelligence has moved past simple chat prompts. Modern enterprises are integrating autonomous agents capable of making decisions, querying records, and executing customer-support tasks without human oversight. How do we build these securely?
1. Understanding RAG (Retrieval-Augmented Generation)
Large Language Models are powerful but have static knowledge. RAG builds a bridge between models and your internal database. When a query arrives, the system searches vector storage for relevant details and appends them to the prompt, ensuring the AI responses are accurate, current, and secure.