You ask ChatGPT about your company's internal policies. It makes something up. It sounds confident. It's wrong.
That's the hallucination problem. LLMs generate text based on what they learned during training. If the answer wasn't in the training data, they fabricate one that sounds plausible.
RAG (Retrieval Augmented Generation) fixes this. Before generating, the system retrieves relevant documents from your own knowledge base. The LLM reads those documents and generates an answer grounded in real content.
Your documents. Your data. Accurate answers.
What You'll Learn Here
