To use the Ask Kyvos Copilot feature, you need to configure GenAI connection details through Kyvos Manager. The default configurations are auto-populated, and you can modify these settings as needed.
Configuring a connection
Configuring an LLM Connection
To configure the GenAI LLM connection, perform the following steps:
On the navigation pane, click Kyvos and Ecosystem > GenAI Configuration. The page displays information about the GenAI Configuration connection details.
In the Connections pane, click the plus icon to add a new GenAI connection. The connection that you create will be listed in the Connection pane. You can edit the information when needed.
Select this Enable checkbox to enable GenAI connection. This will enable the following:
The Kyvos Dialogues option for creating expressions for calculated measures and members.
The Kyvos Dialogues option for MDX queries option that will appear in the Query Playground page.
The Kyvos Dialogues option for Conversation AI. This AI-powered feature helps you query your data using natural language (semantic queries).
Enter details as:
Click Save. The GenAI connection details are saved.
Configuring an embedding connection
You can now specify the type of connection while uploading the custom provider.
After specifying the connection type, users can upload the required JAR and configuration files in a ZIP format corresponding to the selected type
To configure the GenAI embedding connection, perform the following steps:
Parameter/Field | Description |
|---|---|
Connection Name | A unique name that identifies your GenAI connections. |
Provider | The name of the GenAI provider the system will use to generate output. Select the required provider from the list. |
Model | Select the name of the model for generating embeddings. |
EndPoint | Specify a unique identifier for the end user, which helps OpenAI monitor and detect abuse.
|
Prompt Token Limit | Specify maximum tokens allowed for prompt in single request for current model. |
Similarity Upper Threshold | Specify upper threshold to control the selection of records for Retrieval Augmented Generation (RAG). |
Similarity Lower Threshold | Specify lower threshold to control Retrieval Augmented Generation (RAG) record selection. |
Template Folder Path | Provide the folder path for templates. |
RAG Max Records | Specify the maximum number of records (RAG) required in a user prompt. |
Configuring GenAI Custom provider
On the Custom Provider page, while configuring a custom provider, you must define the ‘applicable For’ field to indicate the type whether the details apply to an LLM Connection, an Embedding Connection, or Both.
Parameter/Field | Description |
|---|---|
Provider Name | The name of the GenAI provider the system will use to generate output. |
GenAI Provider Zip | Upload the GenAI provider zip file. |
GenAI Provider ZIP | The zip file should include two folders:
|
Callback Class Name for LLM Service | Provide fully qualified class name, including package name of the class which implements the GenAICallbackService interface for LLM Service. |
Callback Class Name for Embedding Service | Provide fully qualified class name, including package name of the class which implements the GenAIEmbeddingCallbackService interface for Embedding generation. |