Skip to content

Administrator Features

This section describes the features available to administrators of the AI Support appjar. Administrators are responsible for configuring and maintaining all the components that power the AI assistant experience. These management views are accessible through the AI Support section in the application sidebar.

The administrator features are organized around the following areas:

  • Assistants: Create and manage AI assistants by combining a language model, a prompt, and document categories into a cohesive configuration. Assistants are what users interact with in the Chat view.
  • Documents: Upload and manage the knowledge base documents that assistants use for Retrieval-Augmented Generation (RAG). Documents are processed into embeddings that the AI uses to find relevant context when answering questions.
  • LLMs: Configure connections to large language model providers such as OpenAI and Ollama. Each LLM connection defines the endpoint, credentials, and model to use.
  • Prompts: Write and manage system prompts that define the behavior and personality of AI assistants. Prompts are the instructions given to the language model that shape how it responds.
  • Categories: Organize documents and assistants into logical categories. Categories allow administrators to control which documents an assistant has access to, enabling fine-grained knowledge scoping.
  • LLM Inspector: Review the detailed exchanges between the system and the language model. The inspector provides visibility into the requests sent to the LLM and the responses received, which is valuable for debugging and quality assurance.
  • Channels: Configure the messaging integrations (WhatsApp, Facebook, and Instagram) through which the AI assistant communicates with users. Each channel links a platform account to an AI assistant and includes webhook setup for Meta platforms.