AWS AI Practitioner
What is the purpose of chunking in Retrieval Augmented Generation (RAG)?
A
To avoid database storage limitations for large text documents by storing parts or chunks of the text
B
To improve efficiency by avoiding the need to convert large text into vector embeddings
C
To improve the contextual relevancy of results retrieved from the vector index
✓ Correcta
D
To decrease the cost of storage by storing parts or chunks of the text