PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #314
You work for a media company that operates a streaming movie platform where users can search for movies in a database. The existing search algorithm uses keyword matching to return results…
The correct answer is B. Configure Vertex AI Vector Search as the search platform's backend. Vertex AI Vector Search is specifically designed for semantic search. It allows you to index metadata-rich data, such as movie details, and enables advanced query capabilities by embedding search queries and indexed data into vector space for similarity matching. This solution…
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Options
- AUse a foundational large language model (LLM) from Model Garden as the search platform's
- BConfigure Vertex AI Vector Search as the search platform's backend.
- CUse a BERT-based model and host it on a Vertex AI endpoint.
- DCreate the search platform through Vertex AI Agent Builder.
How the community answered
(14 responses)- B86% (12)
- C7% (1)
- D7% (1)
Explanation
Vertex AI Vector Search is specifically designed for semantic search. It allows you to index metadata-rich data, such as movie details, and enables advanced query capabilities by embedding search queries and indexed data into vector space for similarity matching. This solution is well-suited for handling complex semantic queries based on metadata (e.g., actor, genre, director) and can be quickly implemented for a proof of concept. It is also scalable and can integrate seamlessly with the existing search infrastructure.
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