updating index fields

Author: aahill

articles/ai-services/openai/concepts/use-your-data.md

@@ -276,8 +276,6 @@ You can connect to your [Elasticsearch vector database](https://www.elastic.co/g
 Azure OpenAI On Your Data provides the following search types you can use when you add your data source.
 
 * [Keyword search](/azure/search/search-lucene-query-architecture)
-
-* [Semantic search](/azure/search/semantic-search-overview)
 * [Vector search](/azure/search/vector-search-overview) using Ada [embedding](./understand-embeddings.md) models, available in [selected regions](models.md#embeddings-models) 
 
     To enable vector search, you need an existing embedding model deployed in your Azure OpenAI resource. Select your embedding deployment when connecting your data, then select one of the vector search types under **Data management**. If you're using Azure AI Search as a data source, make sure you have a vector column in the index.
@@ -290,6 +288,13 @@ If you're using your own index, you can customize the [field mapping](#index-fie
 | *vector*            | Vector search       | No additional pricing |Enables you to find documents that are similar to a given query input based on the vector embeddings of the content. |
 | *hybrid (vector + keyword)*   | A hybrid of vector search and keyword search | [Additional pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) on your Azure OpenAI account from calling the embedding model.            |Performs similarity search over vector fields using vector embeddings, while also supporting flexible query parsing and full text search over alphanumeric fields using term queries.|
 
+
+### Index field mapping 
+
+If you're using your own index, you will be prompted in the Azure OpenAI Studio to define which fields you want to map for answering questions when you add your data source. You can provide multiple fields for *Content data*, and should include all fields that have text pertaining to your use case.
+
+Mapping these fields correctly helps ensure the model has better response and citation quality. You can additionally configure this [in the API](../references/elasticsearch.md#fields-mapping-options) using the `fields_mapping` parameter.   
+
 ### Use Elasticsearch as a data source via API  
 
 Along with using Elasticsearch databases in Azure OpenAI Studio, you can also use your Elasticsearch database using the [API](../references/elasticsearch.md).