Retrieval augmented generation: when to use it (Hindi)

Understanding RAG fundamentals is critical when your company AI gives fast but wrong answers. This video breaks down RAG fundamentals so product managers know exactly when to use it. Think of a standard model as a student taking a closed-book exam. It answers from memory and guesses when asked about private files. RAG changes this to an open-book exam. The system searches your documents, grabs matching pages, and hands them to the model. This ensures the answer is grounded in your actual data with a verifiable source. An open book does not make the student smarter. If it fetches the wrong page or misinterprets the right one, the answer fails. You must know when this adds value versus when it adds unnecessary cost. In this lesson: - The closed-book versus open-book exam analogy - How the system searches files and grounds answers - The two specific ways this architecture can fail - When to use it for private data versus skipping it U2xAI Academy - AI skills for product managers. यह लेसन हिंदी में है. This lesson is narrated in Hindi.