Retrieval Induction

Retrieval induction is a technique used in artificial intelligence to improve a model’s understanding and responses. It involves first retrieving relevant information from a large database or knowledge base, then using that information to generate more accurate and context-aware answers. Think of it like researching before answering a question: you gather related facts first, then synthesize them to provide a well-informed response. This process helps AI systems handle complex queries better by leveraging existing knowledge dynamically, leading to more reliable and contextually appropriate outputs without requiring the model to memorize all information internally.