Knowledge quiz

It's time to put what you've learned to the test, get 3 right to pass this unit.

Which of the following are options for creating vector embeddings for the Grounding module?

There are two correct answers.

Upload Documents to Supported Data Repository and Run Data Pipeline.

Ensure that all documents are of the same type, before copying into a data repository.

Provide Chunks of Documents via Vector API Directly.

Which function within the SAP HANA Vector Engine is used to calculate the Euclidean distance between vectors?

Choose the correct answer.

COSINE_SIMILARITY()

SQL_QUERY()

EMBEDDING_SEARCH()

L2DISTANCE()

How does document grounding within the generative AI hub improve AI responses?

Choose the correct answer.

By fine-tuning LLMs on proprietary company data.

By merging LLMs with advanced information retrieval techniques for more accurate responses.

By using embedding models to produce text directly.

By integrating generative models to create a context-aware environment.

Which sequence of steps are used in the Document Grounding module as part of the orchestration service to generate content with the RAG approach?

Choose the correct answer.

Configure the Document Grounding module, create the knowledge base, and finally generate content using the RAG approach based on the knowledge base.

Generate content using the RAG approach based on the knowledge base and Configure the Document Grounding module. Note that the knowledge base is automatically created.

Create the knowledge base, then Configure the Document Grounding module and finally generate content using the RAG approach based on the knowledge base.