When you create a knowledge base, because the operation is async, the response includes information to determine the status. Edit this command with your own resource name, resource key, and operation ID. The cURL response includes the status. If the operation state is succeeded, then the resourceLocation includes the knowledge base ID.
This task publishes the knowledge base. Getting the runtime endpoint key is a separate task. Edit this command with your own resource name, resource key, and knowledge base ID. The response status is with no results. Use the -v command-line parameter to see verbose output for the cURL command. This will include the HTTP status.
This task getS the runtime endpoint key. Publishing the knowledge base is a separate task. Edit this command with your own resource name, resource key. The cURL response includes the runtime endpoint keys. Use just one of the keys when querying to get an answer from the knowledge base. Getting an answer from the knowledge is done from a separate runtime than managing the knowledge base. Because it is a separate runtime, you need to authenticate with a runtime key.
A successful response includes the top answer along with other information a client application, such as a chat bot, needs to display an answer to the user. New resources created after July 1, , will use custom subdomain names. For more information and a complete list of regional endpoints, see Custom subdomain names for Cognitive Services. In a console window such as cmd, PowerShell, or Bash , use the dotnet new command to create a new console app with the name qna-maker-quickstart.
This command creates a simple "Hello World" C project with a single source file: program. Within the application directory, install the QnA Maker client library for.
NET with the following command:. Want to view the whole quickstart code file at once? You can find it on GitHub , which contains the code examples in this quickstart. From the project directory, open the program.
In the application's Main method, add variables and code, shown in the following section, to use the common tasks in this quickstart. We use subscription key and authoring key interchangeably. For more details on authoring key, follow Keys in QnA Maker. Go to the Azure portal and find the QnA Maker resource you created in the prerequisites.
QnA Maker uses two different object models:. The knowledge base in this quickstart starts with 2 conversational QnA pairs, this is done on purpose to simplify the example and to have highly predictable Ids to use in the Update method, associating follow-up prompts with questions to new pairs. This was planned and implemented in a specific order for this quickstart.
If you plan to develop your knowledge base over time with follow-up prompts that are dependent on existing QnA pairs, you may choose:. ServiceClientCredentials, which contains your key.
Once the client is created, use the Knowledge base property to create, manage, and publish your knowledge base. Manage your knowledge base by sending a JSON object. For immediate operations, a method usually returns a JSON object indicating status. For long-running operations, the response is the operation ID. Call the client. GetDetailsAsync method with the operation ID to determine the status of the request.
ServiceClientCredentials, which contains your prediction runtime key, returned from the authoring client call, client. GetKeys after the knowledgebase is published. Use the GenerateAnswer method to get an answer from the query runtime.
Instantiate a client object with your key, and use it with your resource to construct the endpoint to create an QnAMakerClient with your endpoint and key. Create a ServiceClientCredentials object.
The final line of the following code returns the knowledge base ID from the response from MonitorOperation. Make sure to include the MonitorOperation function, referenced in the above code, in order to successfully create a knowledge base. Use the MonitorOperation method to determine if the update succeeded. Make sure to include the MonitorOperation function, referenced in the above code, in order to successfully update a knowledge base. This is not equivalent to the QnA Maker portal's export from the Settings page because the result of this method is not a file.
Publish the knowledge base using the PublishAsync method. This takes the current saved and trained model, referenced by the knowledge base ID, and publishes that at your endpoint. This is a necessary step in order to query your knowledgebase. Once a knowledgebase is published, you need the query runtime key to query the runtime.
This isn't the same key used to create the original client object. Create a QnAMakerRuntimeClient to query the knowledge base to generate an answer or train from active learning. Generate an answer from a published knowledgebase using the RuntimeClient. GenerateAnswerAsync method. This is a simple example querying the knowledgebase. You can read and post to a newsgroup that discusses the Windows Installer. Past newsgroup messages can be searched.
Microsoft Public Newsgroups. Technical Chats. Experts from the Windows Installer team at Microsoft answer questions you ask about Windows Installer. Transcripts of previous chats about the Windows Installer are archived for you to read at any time. Search the Knowledge Base.
Orca is a GUI. It provides full access to the Windows Installer database tables. A set of Help files are provided with Orca. Toggle navigation. Microsoft KB Archive Search. On functions that the compiler determines might be subject to buffer overruns, the compiler inserts a security cookie before the return address.
The security cookie is computed one time at module load. The value of the security cookie is pushed to the stack on function entry. On function exit, the compiler helper is called to make sure that the value of the cookie is still the same.
If the value changes, this is treated as a sign of a buffer overrun in the stack corruption. Therefore, you can detect some direct buffer overruns in the return address. This may significantly reduce the number of attacks that the application is vulnerable to.
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