Multimodal RAG in Prompt Engineering / GenAI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What does 'Multimodal' mean in Multimodal RAG?

It means using more than one type of data, like text, images, or audio, together to help the model understand and find information better.

beginner

What is the main goal of Retrieval-Augmented Generation (RAG)?

RAG aims to improve answers by searching for relevant information from a large collection of documents and then generating a response based on that information.

intermediate

How does Multimodal RAG differ from standard RAG?

Standard RAG uses only text data for retrieval and generation, while Multimodal RAG uses multiple data types like images and text together to find and generate better answers.

intermediate

Why is combining different data types helpful in Multimodal RAG?

Because some questions or tasks need more than just text to answer well. For example, an image can show details that words alone can't, so combining them gives richer information.

beginner

Name two common data types used in Multimodal RAG systems.

Text and images are two common data types used together in Multimodal RAG systems.

What does RAG stand for in AI?

A Retrieval-Augmented Generation

B Random Access Generator

C Recursive Algorithmic Graph

D Real-time Automated Guidance

RAG means Retrieval-Augmented Generation, which combines searching for information and generating answers.

Which data types are combined in Multimodal RAG?

A Only text

B Text and images

C Only images

D Audio only

Multimodal RAG uses text and images (and sometimes other types) together to improve understanding.

Why use retrieval in RAG models?

A To generate random text

B To delete old data

C To find relevant information to answer questions better

D To speed up training

Retrieval helps find useful information from a large set of documents to improve answer quality.

Which is NOT a benefit of Multimodal RAG?

A Uses only one type of data

B Can answer questions needing images and text

C Provides richer information

D Better understanding by combining data types

Multimodal RAG uses multiple data types, not just one.

In Multimodal RAG, what role do images play?

A They are ignored during retrieval

B They replace text completely

C They slow down the model

D They add extra information that text alone can't provide

Images add details and context that help the model understand better alongside text.

Explain what Multimodal RAG is and why it is useful.

Think about how combining pictures and words can help answer questions better.

Describe the difference between standard RAG and Multimodal RAG.

Consider what happens when you add images to text-based search and answer.