Oracle AI Vector Search Tutorial | Oracle Database 23ai
Автор: Oracle Webinars
Загружено: 2026-03-09
Просмотров: 2
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Further Reading: https://www.apps-dba.com/2026/03/orac...
In this video, we explore how Oracle AI Vector Search brings powerful semantic search capabilities directly to Oracle Database 23ai. Learn how to store, index, and query vector embeddings right alongside your relational business data using standard SQL!
What you will learn in this video:
The core concepts of vector embeddings and semantic similarity.
How to use the new native VECTOR data type (INT8, FLOAT32, FLOAT64, BINARY).
Calculating similarity using VECTOR_DISTANCE (Cosine, Euclidean, Dot Product, Hamming).
Writing SQL queries for nearest-neighbor similarity search.
Choosing the right Vector Index: HNSW (In-Memory/Speed) vs. IVF (Disk-Based/Scale).
How to import ONNX models and generate embeddings inside the database using the VECTOR_EMBEDDING function—with no external API calls.
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