From 94dcbb903b3bcbd878ac769f5958be3925e8eab1 Mon Sep 17 00:00:00 2001 From: kylebunting Date: Sat, 31 Aug 2024 16:34:20 -0600 Subject: [PATCH] Updating E2T1 --- docs/02_implement_vector_search_in_cosmos_db_nosql/0201.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/02_implement_vector_search_in_cosmos_db_nosql/0201.md b/docs/02_implement_vector_search_in_cosmos_db_nosql/0201.md index f9db8a281..d36e51dad 100644 --- a/docs/02_implement_vector_search_in_cosmos_db_nosql/0201.md +++ b/docs/02_implement_vector_search_in_cosmos_db_nosql/0201.md @@ -21,7 +21,7 @@ The key tasks are as follows: 1. Enable the Vector Search feature in Azure Cosmos DB for NoSQL. 2. Create a container named "MaintenanceRequests" in the `ContosoSuites` database, using the `hotel_id` field as the partition key. -3. During container creation, define a container vector policy using the `cosine` distance function and assign an appropriate vector index type. Name the vector field `request_vector`. +3. During container creation, define a container vector policy using the `cosine` distance function and assign an appropriate vector index type. Designate the field for storing vector data as `request_vector`. ## Success Criteria @@ -77,7 +77,7 @@ The key tasks are as follows: - Select **Use existing** under **Database id** and select the **ContosoSuites** database from the dropdown list. - Enter "MaintenanceRequests" into the **Container id** box. - Enter "/hotel_id" into the **Partition key** box. - - Expand the **Container Vectory Policy** section of the dialog and select **Add vector embedding**. + - Expand the **Container Vectory Policy** section of the dialog, select **Add vector embedding**, and then enter the following values into the specified fields: - Path: Enter **"/request_vector"**. - Data type: Select **float32**. - Distance function: Select **cosine**.