Oracle APEX + AI - Semantic Search🔥Build Vector Search in Oracle APEX using 26ai (End-to-End Guide)

Описание: In this video, we build a real-world Semantic Search (Vector Search) application using Oracle 26 AI Database, ONNX models, and Oracle APEX 🚀

Have you ever wondered how searching for “puppy” returns results for “dog” — without any keyword match?
That’s semantic understanding, and Oracle 26 AI brings this directly inside the database.

🔍 What you’ll learn in this video:

What Semantic Search really is (and how it’s different from keyword search)

How Vector Search works internally at a high level

How Oracle 26 AI uses ONNX models for embeddings

Storing and querying vector embeddings inside Oracle Database

Writing vector similarity SQL queries

Building a fully working Oracle APEX app powered by AI search

Best practices and real-world usage scenarios

This video is hands-on, practical, and production-oriented, not just theory.

⚠️ Prerequisites:

Oracle 26 AI Database setup

ONNX model loaded inside the database

Oracle APEX environment ready

(I’ve already covered these in my previous videos — links in the description.)

If you’re an Oracle Developer, APEX Developer, DBA, or AI-curious engineer, this is a must-watch video.

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So you don’t miss upcoming Oracle AI, Vector DB, APEX, and SQL deep-dives.

BlogPost: https://intotheoracleverse.blogspot.c...


⏱️ CHAPTERS

00:00 What This Video Will Build - End to End Demo Preview
00:28 What is Semantic Search? - Concept Explained Clearly
02:10 Keyword Search vs Semantic Search - SQL Perspective
04:15 How Vector Search Works - High Level Internals
06:40 Oracle 26 AI & ONNX Model Architecture
07:27 Application Development Starts here
09:05 Generating Vector Embeddings in Oracle DB
12:15 Page 2 development
15:41 Testing Application - Part 1
16:09 Auto Refresh on Modal Dialog closure
17:07 Conclusion

🔑 HASHTAGS
#oracle26ai #semanticsearch #vectorsearch #onnx
#oracleapex #oracledatabase
#vectordatabases #oraclesql #plsql
#databaseai #oracledevelopers #orclapex