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beyondrag

Total questions: 10

Worksheet time: 3mins

Name
Class
Date
1.

Which of the following is a limitation of GraphRAG?

a)

Indexing is Expensive

b)

Reduced Hallucinations

c)

Better Answers to Questions

d)

Complex Reasoning Capabilities

2.

_____ 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.

a)

Fine-tuned RAG

b)

RAG

c)

GraphRAG

d)

All of the above

3.

Which of the following is not an Multimodal LLM?

a)

Gemini 1.5 Pro

b)

GPT-4o

c)

CodeGemma

d)

Qwen-VL-Max

4.

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

a)

Google DocAI

b)

LlamaParse

c)

Unstructured.io

d)

None of the options

5.

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

a)

Indexing Optimization

b)

Query Optimization

c)

Re-Ranking

d)

All of the options

6.

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

a)

Retrieval Challenges

b)

Generation Difficulties

c)

Augmentation Hurdles

d)

All of the options

7.

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

a)

It can generate more creative text formats

b)

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

c)

It is faster and more efficient

d)

It is easier to train

8.

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

a)

Interpretability

b)

Dynamic external knowledge

c)

Less compute requirement

d)

All of the options

9.

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

a)

Context-aware Chunking

b)

Fixed-size Chunking

c)

Naive Chunking

d)

Debunking

10.

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

a)

GraphRAG

b)

Parent Document Retriever

c)

Contextual Compression Retriever

d)

Multi Query Retriever