Merge pull request #252498 from sarah-widder/patch-1

Update completions extensions with more details on vector search

Author: prmerger-automator[bot]

articles/ai-services/openai/reference.md

@@ -393,12 +393,12 @@ The following parameters can be used inside of the `parameters` field inside of
 | `fieldsMapping` | dictionary | Optional | null | Index data column mapping.   |
 | `inScope` | boolean | Optional | true | If set, this value will limit responses specific to the grounding data content.  |
 | `topNDocuments` | number | Optional | 5 | Number of documents that need to be fetched for document augmentation.  |
-| `queryType` | string | Optional | simple |  Indicates which query option will be used for Azure Cognitive Search. |
-| `semanticConfiguration` | string | Optional | null |  The semantic search configuration. Only available when `queryType` is set to `semantic`.  |
+| `queryType` | string | Optional | simple |  Indicates which query option will be used for Azure Cognitive Search. Available types: `simple`, `semantic`, `vector`, `vectorSimpleHybrid`, `vectorSemanticHybrid`. |
+| `semanticConfiguration` | string | Optional | null |  The semantic search configuration. Only required when `queryType` is set to `semantic` or  `vectorSemanticHybrid`.  |
 | `roleInformation` | string | Optional | null |  Gives the model instructions about how it should behave and the context it should reference when generating a response. Corresponds to the "System Message" in Azure OpenAI Studio. See [Using your data](./concepts/use-your-data.md#system-message) for more information. There’s a 100 token limit, which counts towards the overall token limit.|
 | `filter` | string | Optional | null | The filter pattern used for [restricting access to sensitive documents](./concepts/use-your-data.md#document-level-access-control)
-| `embeddingEndpoint` | string | Optional | null | the endpoint URL for an Ada embedding model deployment. Used for [vector search](./concepts/use-your-data.md#search-options). | 
-| `embeddingKey` | string | Optional | null | the API key for an Ada embedding model deployment. Used for [vector search](./concepts/use-your-data.md#search-options). | 
+| `embeddingEndpoint` | string | Optional | null | The endpoint URL for an Ada embedding model deployment, generally of the format `https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings?api-version=2023-05-15`. Used for [vector search](./concepts/use-your-data.md#search-options). | 
+| `embeddingKey` | string | Optional | null | The API key for an Ada embedding model deployment. Used for [vector search](./concepts/use-your-data.md#search-options). | 
 
 ## Image generation