Full customization through configuration settings without the need for coding or complex integrations

Offers flexibility to switch between cloud-based or local AI models and vector databases, facilitating seamless transitions without extensive reconfiguration.

Mitigates risks like hallucinations by ensuring answers are based on relevant, up-to-date information rather than solely on training data.

Organizes and stores source data in distinct groups, allowing controlled access to different datasets and preventing unintended information disclosure.

Provides various interfaces, including a full-featured chatbot, batch workflow processing, and a simple popup chat, each offering robust customization and control over AI interactions.