From 39a18a39f4aba73be19d6aab45fff7d99de0d1b8 Mon Sep 17 00:00:00 2001 From: Pamela Fox Date: Mon, 11 Mar 2024 14:17:20 -0700 Subject: [PATCH] Update data_ingestion.md with correct notebook link (#1405) --- docs/data_ingestion.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/data_ingestion.md b/docs/data_ingestion.md index dd934fa30a..0dd7d9d47c 100644 --- a/docs/data_ingestion.md +++ b/docs/data_ingestion.md @@ -50,7 +50,7 @@ You can also remove individual documents by using the `--remove` flag. Open eith Azure AI search recently introduced an [integrated vectorization feature in preview mode](https://techcommunity.microsoft.com/t5/ai-azure-ai-services-blog/announcing-the-public-preview-of-integrated-vectorization-in/ba-p/3960809#:~:text=Integrated%20vectorization%20is%20a%20new%20feature%20of%20Azure,pull-indexers%2C%20and%20vectorization%20of%20text%20queries%20through%20vectorizers). This feature is a cloud-based approach to data ingestion, which takes care of document format cracking, data extraction, chunking, vectorization, and indexing, all with Azure technologies. -See [this notebook](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/code/azure-search-integrated-vectorization-sample.ipynb) to understand the process of setting up integrated vectorization. +See [this notebook](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/code/integrated-vectorization/azure-search-integrated-vectorization-sample.ipynb) to understand the process of setting up integrated vectorization. We have integrated that code into our `prepdocs` script, so you can use it without needing to understand the details. This feature cannot be used on existing index. You need to create a new index or drop and recreate an existing index.