Rag pipeline basics for product managers (Hindi)

Understanding how a Rag pipeline works is essential for product managers who want to stop AI hallucinations. When AI makes up fake facts, users abandon your app, but retraining the model is too expensive. This lesson explains retrieval augmented generation using a restaurant kitchen metaphor. The AI model is the head chef and your database is the pantry. Since the chef has amnesia about current inventory, a runner uses a smart index to fetch exact ingredients for a user prompt. The chef mixes these facts to generate a perfect response. Your job is not to build vector databases. Your focus is cleaning the pantry so the AI avoids garbage data, and tasting the food by running weekly test questions to catch bad answers. In this lesson: - Why AI hallucinates and retraining costs - The kitchen metaphor for retrieval augmented generation - How smart indexes fetch data for prompts - Your role in cleaning data and testing outputs U2xAI Academy - AI skills for product managers. यह लेसन हिंदी में है. This lesson is narrated in Hindi.