Researching careers or new directions works best when you're not just skimming job descriptions but digging into actual information about how people work, what the day-to-day looks like, and where the field is heading. AI-powered research that pulls from real sources helps you build an informed picture beyond the highlight reel.
Retrieval-Augmented Generation (RAG) is a technique where AI pulls in current, real-world information from external sources before generating a response, rather than relying solely on its training data.
For midlife career pivoters, RAG-powered tools can surface up-to-date job market trends, salary benchmarks, and emerging roles in fields you are considering, making your research far more accurate and actionable than standard AI alone.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
Explore related journeys or tell Peri what you're working through.