Free CT-GENAI Web TestEngine Demo

Q2 Single choice

In a Retrieval-Augmented Generation (RAG) system, what is the primary purpose of storing document chunks as high-dimensional vectors (embeddings) in a vector database?

A
To enable the LLM to learn new linguistic patterns during inference.
B
To directly generate human-like text responses without additional context.
C
To facilitate efficient similarity-based retrieval of relevant information at runtime.
D
To convert textual input into smaller units called tokens.

CT-GENAI Web TestEngine demo