Skip to content

Commit 1b8b225

Browse files
committed
Edits for consistency and readability
1 parent 07d618b commit 1b8b225

File tree

2 files changed

+9
-3
lines changed

2 files changed

+9
-3
lines changed

Quickstart/README.md

Lines changed: 7 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -8,12 +8,14 @@ products:
88
- azure
99
- azure-search
1010
description: |
11-
Jupyter Python3 notebook, demonstrating index definition, data ingestion, and query execution in Azure Search using the REST APIs.
11+
Learn basic steps for creating, loading, and querying an Azure Search index using REST APIs and a Jupyter Python3 notebook.
1212
urlFragment: python-sample-quickstart
1313
---
1414

1515
# Quickstart sample for Azure Search using Python
1616

17+
![Flask sample MIT license badge](https://img.shields.io/badge/license-MIT-green.svg)
18+
1719
Demonstrates connecting to Azure Search, creating and loading an index consisting of fictitious hotel data, and running queries. A Jupyter Python Notebook is used to run this code. Calls to Azure Search are through the REST APIs.
1820

1921
This sample is a Jupyter Python3 .ipynb file used in [Quickstart: Create and query an Azure Search index using a Jupyter Python notebook](https://docs.microsoft.com/azure/search/search-get-started-python)
@@ -43,3 +45,7 @@ This sample is a Jupyter Python3 .ipynb file used in [Quickstart: Create and que
4345
1. Open the azure-search-quickstart.ipynb file in Jupyter Notebook
4446
1. Replace <YOUR-SERVICE-NAME> and <YOUR-ADMIN-API-KEY> with the service and api-key details of your Azure Search service
4547
1. Run each step individually
48+
49+
## Next steps
50+
51+
You can learn more about Azure Search on the [official documentation site](https://docs.microsoft.com/azure/search).

Tutorial-AI-Enrichment/README.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -6,9 +6,9 @@ languages:
66
products:
77
- azure
88
- azure-search
9-
name: Cognitive search AI-enriched pipeline
9+
name: Build a cognitive search AI-enriched pipeline
1010
description: |
11-
Jupyter Python3 notebook, demonstrating AI enrichment using Cognitive Services in an Azure Search indexing pipeline. Calls to Azure Search are made using REST APIs.
11+
Demonstrates AI enrichment using Cognitive Services in an Azure Search indexing pipeline. Calls to Azure Search are made using REST APIs in Jupyter Python3 notebook.
1212
urlFragment: python-tutorial-cognitive-search
1313
---
1414

0 commit comments

Comments
 (0)