Which of the following is a limitation of GraphRAG?

• Indexing is Expensive

• Reduced Hallucinations

• Better Answers to Questions

• Complex Reasoning Capabilities

_____ is process involves extracting a knowledge graph out of raw text, building a community hierarchy, generating summaries for these communities, and then leveraging these structures when perform RAG-based tasks.

• Fine-tuned RAG

• RAG

• GraphRAG

• All of the above

Which of the following is not an Multimodal LLM?

• Gemini 1.5 Pro

• GPT-4o

• CodeGemma

• Qwen-VL-Max

Which of the below is not a document parsing platform/framework?

• Google DocAI

• LlamaParse

• Unstructured.io

• None of the options

____ is technique for enhancing the user-query in advanced RAG workflow.

• Indexing Optimization

• Query Optimization

• Re-Ranking

• All of the options

Which of the following is one of the problems with naive RAG?

• Retrieval Challenges

• Generation Difficulties

• Augmentation Hurdles

• All of the options

What is the main advantage of using a multimodal LLM over a traditional LLM?

• It can generate more creative text formats

• It can process and understand information from multiple modalities, such as text and images

• It is faster and more efficient

• It is easier to train

Which of the following is one of the advantage of using RAG over Fine-tuning LLMs?

• Interpretability

• Dynamic external knowledge

• Less compute requirement

• All of the options

_____ is a chunking strategy based on type of content in your knowledge base.

• Context-aware Chunking

• Fixed-size Chunking

• Naive Chunking

• Debunking

Which of the following retriever generates multiple queries from different perspectives for an input query?

• GraphRAG

• Parent Document Retriever

• Contextual Compression Retriever

• Multi Query Retriever