RAG
Full Form: Retrieval-Augmented Generation
Category: AI Techniques
📖 Definition
RAG combines traditional information retrieval with language model generation. When you ask a question, the system first searches for relevant documents, then uses the AI to generate an answer based on that information.
🔑 Key Points
- Improves accuracy by grounding AI responses in real documents
- Allows AI to access private or up-to-date information
- Reduces hallucinations by providing factual context
- Commonly used in enterprise AI and research applications
💡 Why It Matters
RAG makes AI much more useful for business applications where accuracy matters. It's how AI can answer questions about your own documents or recent events.