Exam Name: | Oracle AI Vector Search Professional | ||
Exam Code: | 1z0-184-25 Dumps | ||
Vendor: | Oracle | Certification: | Oracle Cloud Infrastructure |
Questions: | 60 Q&A's | Shared By: | cecelia |
In the following Python code, what is the significance of prepending the source filename to each text chunk before storing it in the vector database?
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docs = [{"text": filename + "|" + section, "path": filename} for filename, sections in faqs.items() for section in sections]
# Sample the resulting data
docs[:2]
Which of the following actions will result in an error when using VECTOR_DIMENSION_COUNT() in Oracle Database 23ai?
How does an application use vector similarity search to retrieve relevant information from a database, and how is this information then integrated into the generation process?
When generating vector embeddings for a new dataset outside of Oracle Database 23ai, which factor is crucial to ensure meaningful similarity search results?