Family benefits—tax credits, childcare subsidies, educational grants, housing assistance—are designed for people like you but are difficult to navigate because the information is fragmented and rules change. A system that retrieves current, accurate information about programs you qualify for closes the gap between benefits that exist and benefits you actually access.
Retrieval augmented generation (RAG) is an AI technique that combines a language model with a live search over a curated knowledge base, so the AI can pull in current and specific information before generating a response.
Single parents researching childcare subsidies, tax credits, or local assistance programs can use RAG-powered tools to get answers grounded in real and up-to-date eligibility rules rather than outdated or hallucinated information.
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.