Skip to content

Commit bb268d0

Browse files
committed
Logic Apps connector doc
1 parent dd85f1d commit bb268d0

File tree

5 files changed

+79
-4
lines changed

5 files changed

+79
-4
lines changed
104 KB
Loading

articles/search/search-get-started-portal-import-vectors.md

Lines changed: 6 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -343,6 +343,12 @@ The next step is to connect to a data source to use for the search index.
343343

344344
1. Select **Next**.
345345

346+
### [Logic Apps](#tab/connect-logic-apps)
347+
348+
The current preview adds support for Logic Apps connectors. For a list of supported connectors and operations:
349+
350+
+ [Use a Logic Apps connector for indexer-based indexing](search-how-to-index-logic-apps-indexers.md)
351+
346352
---
347353

348354
## Vectorize your text
Lines changed: 65 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,65 @@
1+
---
2+
title: Connect to Logic Apps
3+
titleSuffix: Azure AI Search
4+
description: Use a Logic Apps connector for indexer-based indexing in Azure AI Search.
5+
manager: nitinme
6+
author: HeidiSteen
7+
ms.author: heidist
8+
ms.service: azure-ai-search
9+
ms.topic: how-to
10+
ms.date: 05/15/2025
11+
---
12+
13+
# Use a Logic Apps connector for indexer-based indexing in Azure AI Search
14+
15+
[!INCLUDE [Feature preview](./includes/previews/preview-generic.md)]
16+
17+
Support for Logic Apps connector is now in public preview, available in the Azure portal [Quickstart wizard](search-get-started-portal-import-vectors.md) only.
18+
19+
A Logic apps connector is equivalent to an indexer in Azure AI Search, inclusive of both the data source and indexer definition. Logic Apps integration adds support for more data sources, and includes integration with Azure OpenAI models for vectorizing data during indexing.
20+
21+
You can create an connector in Azure AI Search, and then manage it in Logic Apps alongside your other connectors. Logic Apps connectors are a billable resource. For more information, see [Azure Logic Apps pricing](/azure/logic-apps/logic-apps-pricing).
22+
23+
## Key features
24+
25+
The Quickstart wizard generates a Logic Apps connector, one each for on-demand or scheduled indexing, and a search index.
26+
27+
+ Support for more data sources
28+
+ Integrated vectorization
29+
+ Scheduled or on-demand indexing
30+
31+
## Supported regions
32+
33+
End-to-end functionality is available in the following regions, which provide the data source connector, document cracking, document chunks, support for Azure OpenAI embedding models, and the Azure AI indexer support for pulling the data:
34+
35+
+ Australia East
36+
+ Brazil South
37+
+ South Central US
38+
+ East US
39+
+ East US 2
40+
+ East Asia
41+
+ North Europe
42+
+ Southeast Asia
43+
+ Sweden Central
44+
+ UK South
45+
+ West US 2
46+
+ West US 3
47+
48+
## Create a Logic Apps connector
49+
50+
Follow these steps to create a Logic Apps connector for indexing content in Azure AI Search.
51+
52+
1. Start the Quickstart wizard in the Azure portal.
53+
54+
1. Choose a Logic Apps indexer.
55+
56+
:::image type="content" source="media/logic-apps-connectors/choose-data-source.png" alt-text="Screenshot of the choose data source page in the Quickstart wizard." lightbox="media/logic-apps-connectors/choose-data-source.png" :::
57+
58+
## Template management
59+
60+
Templates are created by the wizard when you specify a Logic Apps indexer. To create and manage templates, including template deletion, do this through Logic Apps. The Azure portal search service dashboard doesn't provide template management, and currently there's no programmatic support in Azure AI Search APIs.
61+
62+
## Related content
63+
64+
+ [Indexers](search-indexer-overview.md)
65+

articles/search/toc.yml

Lines changed: 4 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -255,6 +255,10 @@ items:
255255
href: search-how-to-alias.md
256256
- name: Import large data sets
257257
href: search-how-to-large-index.md
258+
- name: Logic Apps connectors
259+
items:
260+
- name: Configure a connector
261+
href: search-how-to-index-logic-apps-indexers.md
258262
- name: Indexers
259263
items:
260264
- name: Create an indexer
@@ -407,7 +411,6 @@ items:
407411
- name: Filter on vector queries
408412
displayName: query
409413
href: vector-search-filters.md
410-
411414
- name: Keyword search
412415
items:
413416
- name: Full text query

articles/search/whats-new.md

Lines changed: 4 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -7,7 +7,7 @@ author: HeidiSteen
77
ms.author: heidist
88
ms.service: azure-ai-search
99
ms.topic: overview
10-
ms.date: 04/15/2025
10+
ms.date: 05/15/2025
1111
ms.custom:
1212
- references_regions
1313
- ignite-2024
@@ -24,8 +24,9 @@ Learn about the latest updates to Azure AI Search functionality, docs, and sampl
2424

2525
| Item                         | Type | Description |
2626
|-----------------------------|------|--------------|
27-
| [Agentic retrieval (preview)](search-agentic-retrieval-concept.md) | Query | Create a conversational search experience powered by large language models (LLMs) and your proprietary data. Agentic retrieval breaks down complex user queries into subqueries, runs the subqueries in parallel, and extracts grounding data from documents indexed in Azure AI Search. The output is intended for integration with custom chat solutions. A new [knowledge agent](search-agentic-retrieval-how-to-create.md) is introduced in this preview. Its [response payload](search-agentic-retrieval-how-to-retrieve.md) is designed for downstream agent and chat model consumption, with full transparency of the query plan and reference data. For developer guidance, see [Build an agent-to-agent retrieval solution](search-agentic-retrieval-how-to-pipeline.md). |
28-
| 2025-05-01-preview | REST | New data plane preview REST API version providing programmatic access to the preview features announced in this release. |
27+
| [Agentic retrieval (preview)](search-agentic-retrieval-concept.md) | Query | Create a conversational search experience powered by large language models (LLMs) and your proprietary data. Agentic retrieval breaks down complex user queries into subqueries, runs the subqueries in parallel, and extracts grounding data from documents indexed in Azure AI Search. The output is intended for integration with custom chat solutions. A new [knowledge agent](search-agentic-retrieval-how-to-create.md) is introduced in this preview. Its [response payload](search-agentic-retrieval-how-to-retrieve.md) is designed for downstream agent and chat model consumption, with full transparency of the query plan and reference data. To get started, see [Quickstart: Agentic retrieval](search-get-started-agentic-retrieval.md). |
28+
| [Logic Apps integration (preview)](search-how-to-index-logic-apps-indexers.md) | Indexing | Create an automated indexing pipeline that retrieves content from a supported Logic Apps connector. Use the [Quickstart wizard](search-get-started-portal-import-vectors.md) in the Azure portal to build the indexing pipeline.|
29+
| [2025-05-01-preview](/rest/api/searchservice/operation-groups?view=rest-searchservice-2025-05-01-preview&preserve-view=true) | REST | New data plane preview REST API version providing programmatic access to the preview features announced in this release. |
2930

3031
## April 2025
3132

0 commit comments

Comments
 (0)