In order to create a chatbot, you need to access the admin page and follow these steps:

Make sure that the company and users have been created correctly.

Create chat settings

Chat settings:

The Chat Configuration Management functionality in the admin interface allows administrators to customize the behavior of the chat feature through various settings. These include:

• Default Model Selection: Administrators can specify which AI model is the default choice in the chat interface for their company.
• Behavior Customization: Define the prompt that influences the chat behavior for all users within the company.
• Response Handling for Unmatched Queries: Configure how the chat should respond when a user asks a question that does not match any document in the database.
  • Option 1: The chat can still provide an answer, specifying that the response is not sourced from the provided documents.
  • Option 2: The chat can be set to provide no answer if no relevant document is found.
• Customize the message displayed when the chat cannot find an answer in the document database and is configured not to respond in such cases.
• Single Chat Settings Association: Each company can be associated with only one set of chat settings.
• Document Association: View the documents linked to the chat functionality.
• Bug Report Email Configuration: Define the email address to which bug reports will be sent when users encounter issues and submit bug reports.

Chat messages:

Displays the list of user inputs/queries submitted through the chat interface.

Chat responses flags:

Lists messages flagged by users when they are submitted a potential bugs or issues. This helps in identifying and addressing user-reported problems.

Chat responses:

Provides a detailed view of interactions between a user and the chat system, including technical information not visible from the front end. Details include:

• Date/Time: The date and time when the response was generated.
• Standalone Question: How the system rephrased the user’s question.
• Text: The content of the response generated by the model
• User query: The original question posed by the user.
• Chunk Response Links: The document extracts used by Paradigm to generate the response.
  • distance: score of similarity between rephrased query and chunk
  • certainty: result of LLM filtering, the higher the better, chunks below a certain threshold won't be included in the response generation

Chat sessions:

Lists all chat sessions generated by users. Each session includes multiple chat responses and tracks the entire conversation flow.

Document extracts:

Details the excerpts from documents that are used when a user asks a question with the "search in my document" option selected. The model responds by providing relevant document excerpts to justify the generated answer.

Feedback categories:

When a user provides feedback on a generated response by clicking like or dislike, a pop-up invites them to specify their satisfaction level through checkboxes. Feedback categories allow customization of the items presented in the pop-up. These categories apply to all companies.

Response feedbacks:

enables viewing of user reactions to various responses, such as:

• Regenerate: The user requested to regenerate the response.
• Copy: The user copied the response.
• Like/Dislike: The user liked or disliked the response.