1Z0-1127-25 OCI Generative AI Service Practice Question
A developer is using the OCI Generative AI Agents service to build a RAG application. They have uploaded policy PDFs to an OCI Object Storage bucket. What is the next step to make the documents searchable?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a knowledge base from the Object Storage bucket
In OCI Generative AI Agents, you create a knowledge base from data sources like Object Storage. The agent then uses this knowledge base to retrieve relevant information for answering questions. Creating a dedicated cluster or fine-tuning is not required for RAG with agents.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a dedicated AI cluster to host the documents
Why it's wrong here
Documents are stored in Object Storage, not on a cluster. Clusters are for model hosting.
- ✗
Use the Embeddings API to embed each PDF manually
Why it's wrong here
The Agents service automates embedding and indexing; manual embedding is not required.
- ✗
Fine-tune a model on the PDFs
Why it's wrong here
Fine-tuning is not necessary for RAG; retrieval uses the original documents.
- ✓
Create a knowledge base from the Object Storage bucket
Why this is correct
The knowledge base indexes the documents from Object Storage and enables retrieval.
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