1Z0-1127-25 Practice Question: Building LLM Applications with RAG and Vector Search
An organization wants to combine keyword search and vector search to improve retrieval accuracy in their RAG pipeline. Which OCI service provides built-in hybrid search capabilities?
⚠ Common exam trap
Oracle often tests the misconception that any service with 'AI' or 'Vector' in its name supports hybrid search out of the box, but candidates must recognize that OCI OpenSearch is the only service with a built-in hybrid search pipeline that combines keyword and vector search natively.
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
✓
OCI OpenSearch
OCI OpenSearch is the correct answer because it natively supports hybrid search, which combines keyword-based (BM25) and vector-based (k-NN) queries in a single search request. This allows the RAG pipeline to retrieve documents that match both exact terms and semantic meaning, improving overall accuracy without requiring separate search systems.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
OCI Search with AI
Why it's wrong here
This is a search service but not primarily for hybrid search.
- ✓
OCI OpenSearch
Why this is correct
OpenSearch integrates BM25 and vector search.
- ✗
Autonomous Database with AI Vector Search
Why it's wrong here
Lacks robust keyword search capabilities.
- ✗
OCI Logging
Why it's wrong here
Unrelated.
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