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Step 1. Launch Aspire and open the Content Source Management Page.

Launch Aspire (if it's not already running). See:

Step 2. Add a new Content Source

.

  • To add a new Content Source, For this step please follow the step steps from the Configuration Tutorial of the connector of you your choice, please refer to . Please refer to the Connector list.

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Step 3. Add a new

 Python

Python Bridge

Component  to

Connection to the Workflow.

To add a Python Bridge. A Python Bridge connection as well as a Python Bridge Vectorization components need to be added to the workflow. an Azure OpenAI Connection application, drag a Python Bridge Connection from the Workflow Tree and drop it to the Workflow Tree where you want to add it. This will automatically open the Python Bridge Connection window for the configuration of the application.

Step 3a. Specify the Python Bridge Connection requirements.

 In the Python Bridge Connection to  windowwindow, specify the connection information to the Saga Bridge.

Step 3b. Specify the Python Bridge Vectorization requirements

 In the Python Bridge Vectorization window, specify the vectorization information

Example:

Endpoint: http//:localhost:5000

Enable basic authentication in case it has been enabled from the Saga Python Bridge.



Once you've clicked on the Add button button, it will take a moment for Aspire to download all of the necessary components (the Jar jar files) from the Maven repository and load them into Aspire. Once that's done, the publisher will appear in the Workflow Tree.

Info

For details on using the Workflow section, please refer to to the Workflow introduction.