An intro to the ORDS /vectorSearch and /vecdb/embed REST APIs

I created this video as more of a discussion around the new-to-ORDS 26.1.0 /vectorSearch and /vecdb/embed REST APIs. The video is intended to be a supplement to this blog: https://blogs.oracle.com/database/pain-free-vector-similarity-search-for-your-apps-oracle-database-rest-apis

The sample app I reference in this video (and blog) can be found here: https://github.com/chrishoina/blogrepo/tree/main/vectorSearch

And the LiveLab where I borrowed the dataset and ONNX model from can be found here: https://livelabs.oracle.com/ords/r/dbpm/livelabs/view-workshop?wid=4166

Chapters:
0:10 Intro to ORDS' new Vector endpoints
1:10 Where we got the data and ONNX model for Vectors
2:50 Some Installing ORDS in/with ADB wisdom
4:05 Reviewing the PARKS table data and Vector column
4:25 Reviewing the Auto-REST endpoints from SQL Worksheet
4:54 Reviewing the PARKS table with the OpenAPI Viewer
5:15 /vectorSearch JSON payload considerations
6:35 Starting up the NodeJS Server
6:45 New /vecdb endpoints included in the ORDS DB-API
6:55 About the /vecdb/embed endpoint
7:32 Using the sample app to demo Vector search
11:00 About ORDS' OAuth2.0 Clients
13:20 About the vecdb and Auto-REST roles
14:25 Demonstrating POST requests in Insomnia
15:55 The PARKS table's Vector column
17:30 Comparing the manually fetched and sample app results

Видео An intro to the ORDS /vectorSearch and /vecdb/embed REST APIs канала Chris Hoina