Retrieval-augmented generation knowledge system
Build an AI system that retrieves relevant information from company or personal data and supplies it to a language model so responses are grounded in factual documents rather than generated without that information.
From IBM Technology — Essential Skills for Becoming an AI Engineer: RAG, AI Agents, & More at 05:39
Problem: Language models may hallucinate answers about information they were not trained on. A retrieval pipeline provides relevant source material in the model's context window.
For: Organizations and businesses that need users to ask questions about company policies, legal documents, or other internal information; examples include HR services, hospitals, and online chatbots.
Products from this video
Examples
- HR knowledge systems: answer questions using grounded organizational information.