Entry point
The entry point for a RAG-based chatbot system is designed to be user-friendly, allowing users to submit their natural language queries through various interfaces, such as web forms, chat applications, or API endpoints. However, the entry point should not be limited to accepting text-based inputs only; it should also handle different modalities, such as audio files or images, depending on the capabilities of the underlying language model.
In the case of models like Google Gemini (which support multimodal inputs), the entry point can directly accept and process text, audio, images, or even videos. This versatility enables users to interact with the chatbot system in a more natural and intuitive manner, aligning with the way humans communicate in real-world scenarios.
In cases where the language model does not natively support multimodal inputs, the entry point can still accommodate various input modalities by pre-processing the data and extracting the textual content...
