Course Graded Quiz: Project: Generative AI Applications with RAG and LangChain :Project: Generative AI Applications with RAG and LangChain (IBM AI Engineering Professional Certificate) Answers 2025
1. What should Ricky do before embedding documents in RAG? ❌ Select the chunking approach❌ Set up the vector store✅ Load and organize travel-related documents❌ Connect retriever to the query engine Explanation:Before chunking or embedding, documents must first be loaded and organized. 2. What does context length refer to in LLMs? ❌ Long training time❌… <a href="https://codeshala.io/platform/coursera/course/project-generative-ai-applications-with-rag-and-langchain-ibm-ai-engineering-professional-certificate/assignment/course-graded-quiz-project-generative-ai-applications-with-rag-and-langchain-project-generative-ai-applications-with-rag-and-langchain-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Course Graded Quiz: Project: Generative AI Applications with RAG and LangChain :Project: Generative AI Applications with RAG and LangChain (IBM AI Engineering Professional Certificate) Answers 2025</span></a>