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Author: yuantao-wang

articles/ai-services/openai/references/azure-ml.md

@@ -30,7 +30,7 @@ The configurable options of Azure Machine Learning index when using Azure OpenAI
 | `version` | string | True | The version of the Azure Machine Learning index.|
 | `authentication`| One of [AccessTokenAuthenticationOptions](#access-token-authentication-options), [SystemAssignedManagedIdentityAuthenticationOptions](#system-assigned-managed-identity-authentication-options), [UserAssignedManagedIdentityAuthenticationOptions](#user-assigned-managed-identity-authentication-options) | True | The authentication method to use when accessing the defined data source. |
 | `in_scope` | boolean | False | Whether queries should be restricted to use of indexed data. Default is `True`.| 
-| `role_information`| string | False | Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses. There's a 400 token limit for it, and it counts against the overall token limit.|
+| `role_information`| string | False | Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses.|
 | `strictness` | integer | False | The configured strictness of the search relevance filtering. The higher of strictness, the higher of the precision but lower recall of the answer. Default is `3`.| 
 | `top_n_documents` | integer | False | The configured top number of documents to feature for the configured query. Default is `5`. |
 | `filter`| string | False | Search filter. Only supported if the Azure Machine Learning index is of type Azure Search.|

articles/ai-services/openai/references/azure-search.md

@@ -33,7 +33,7 @@ The configurable options of Azure AI Search when using Azure OpenAI on your data
 | `filter`| string | False | Search filter. |
 | `in_scope` | boolean | False | Whether queries should be restricted to use of indexed data. Default is `True`.| 
 | `query_type` | [QueryType](#query-type) | False | The query type to use with Azure Search. Default is `simple` |
-| `role_information`| string | False | Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses. There's a 400 token limit for it, and it counts against the overall token limit.|
+| `role_information`| string | False | Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses.|
 | `semantic_configuration` | string | False | The semantic configuration for the query. Required when `query_type` is `semantic` or `vector_semantic_hybrid`.| 
 | `strictness` | integer | False | The configured strictness of the search relevance filtering. The higher of strictness, the higher of the precision but lower recall of the answer. Default is `3`.| 
 | `top_n_documents` | integer | False | The configured top number of documents to feature for the configured query. Default is `5`. |

articles/ai-services/openai/references/cosmos-db.md

@@ -32,7 +32,7 @@ The configurable options of Azure Cosmos DB for MongoDB vCore when using Azure O
 | `authentication`| [ConnectionStringAuthenticationOptions](#connection-string-authentication-options)| True | The authentication method to use when accessing the defined data source. |
 | `embedding_dependency` | One of [DeploymentNameVectorizationSource](#deployment-name-vectorization-source), [EndpointVectorizationSource](#endpoint-vectorization-source) | True | The embedding dependency for vector search.|
 | `in_scope` | boolean | False | Whether queries should be restricted to use of indexed data. Default is `True`.| 
-| `role_information`| string | False | Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses. There's a 400 token limit for it, and it counts against the overall token limit.|
+| `role_information`| string | False | Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses.|
 | `strictness` | integer | False | The configured strictness of the search relevance filtering. The higher of strictness, the higher of the precision but lower recall of the answer. Default is `3`.| 
 | `top_n_documents` | integer | False | The configured top number of documents to feature for the configured query. Default is `5`. |
 

articles/ai-services/openai/references/elasticsearch.md

@@ -32,7 +32,7 @@ The configurable options for Elasticsearch when using Azure OpenAI on your data.
 | `fields_mapping` | [FieldsMappingOptions](#fields-mapping-options) | False | Customized field mapping behavior to use when interacting with the search index.|
 | `in_scope` | boolean | False | Whether queries should be restricted to use of indexed data. Default is `True`.| 
 | `query_type` | [QueryType](#query-type) | False | The query type to use with Elasticsearch. Default is `simple` |
-| `role_information`| string | False | Give the model instructions about how it should behave, and any context it should reference when generating a response. You can describe the assistant's personality, and tell it how to format responses. There's a 400 token limit for it, and it counts against the overall token limit.|
+| `role_information`| string | False | Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses.|
 | `strictness` | integer | False | The configured strictness of the search relevance filtering. The higher of strictness, the higher of the precision but lower recall of the answer. Default is `3`.| 
 | `top_n_documents` | integer | False | The configured top number of documents to feature for the configured query. Default is `5`. |
 

articles/ai-services/openai/references/pinecone.md

@@ -31,7 +31,7 @@ The configurable options of Pinecone when using Azure OpenAI on your data. This
 | `authentication`| [ApiKeyAuthenticationOptions](#api-key-authentication-options) | True | The authentication method to use when accessing the defined data source. |
 | `embedding_dependency` | [DeploymentNameVectorizationSource](#deployment-name-vectorization-source) | True | The embedding dependency for vector search.|
 | `in_scope` | boolean | False | Whether queries should be restricted to use of indexed data. Default is `True`.| 
-| `role_information`| string | False | Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses. There's a 400 token limit for it, and it counts against the overall token limit.|
+| `role_information`| string | False | Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses.|
 | `strictness` | integer | False | The configured strictness of the search relevance filtering. The higher of strictness, the higher of the precision but lower recall of the answer. Default is `3`.| 
 | `top_n_documents` | integer | False | The configured top number of documents to feature for the configured query. Default is `5`. |