Merge branch 'main' of https://github.com/Azure-Samples/azure-sql-db-session-recommender-v2

yorek · yorek · commit f30722fccdc1 · 2024-03-12T14:52:10.000-07:00
diff --git a/README.md b/README.md
@@ -125,7 +125,7 @@ values
         'Building a session recommender using OpenAI and Azure SQL', 
         'In this fun and demo-driven session you’ll learn how to integrate Azure SQL with OpenAI to generate text embeddings, store them in the database, index them and calculate cosine distance to build a session recommender. And once that is done, you’ll publish it as a REST and GraphQL API to be consumed by a modern JavaScript frontend. Sounds pretty cool, uh? Well, it is!',
         'S1',
-		'2024-03-10 10:00:00',
+        '2024-03-10 10:00:00',
         '2024-03-10 11:00:00',
         1
     )
@@ -169,4 +169,4 @@ The solution uses Fluent UI for the UI components. The Fluent UI is a collection
 
 ## Credits
 
-Thanks a lot to [Aaron Powell](https://www.aaron-powell.com/) for having helped in building the RAG sample, doing a complete UI revamp using the Fluent UI and for the implementaiton of the `ask` endpoint.
+Thanks a lot to [Aaron Powell](https://www.aaron-powell.com/) for having helped in building the RAG sample, doing a complete UI revamp using the Fluent UI and for the implementaiton of the `ask` endpoint.

Original file line number	Diff line number	Diff line change
`@@ -125,7 +125,7 @@ values`
`125`	`125`	`'Building a session recommender using OpenAI and Azure SQL',`
`126`	`126`	`'In this fun and demo-driven session you’ll learn how to integrate Azure SQL with OpenAI to generate text embeddings, store them in the database, index them and calculate cosine distance to build a session recommender. And once that is done, you’ll publish it as a REST and GraphQL API to be consumed by a modern JavaScript frontend. Sounds pretty cool, uh? Well, it is!',`
`127`	`127`	`'S1',`
`128`		`- '2024-03-10 10:00:00',`
	`128`	`+ '2024-03-10 10:00:00',`
`129`	`129`	`'2024-03-10 11:00:00',`
`130`	`130`	`1`
`131`	`131`	`)`
`@@ -169,4 +169,4 @@ The solution uses Fluent UI for the UI components. The Fluent UI is a collection`
`169`	`169`
`170`	`170`	`## Credits`
`171`	`171`
`172`		-Thanks a lot to [Aaron Powell](https://www.aaron-powell.com/) for having helped in building the RAG sample, doing a complete UI revamp using the Fluent UI and for the implementaiton of the `ask` endpoint.
	`172`	+Thanks a lot to [Aaron Powell](https://www.aaron-powell.com/) for having helped in building the RAG sample, doing a complete UI revamp using the Fluent UI and for the implementaiton of the `ask` endpoint.