This sample application showcases a Retrieval-Augmented Generation (RAG) system powered by a large language model (LLM), built to deliver smooth and efficient support chat experiences.
It harnesses advanced AI capabilities to improve user interactions and ensure precise information retrieval.
To activate the chat feature, users must set up their Gemini API key and provide knowledge base content in JSON format, as illustrated below:
[
{
"title": "What is the return policy?",
"content": "<HTML content>"
},
...
]
Once configured, users can initiate a chat session by clicking the chat icon in the bottom right corner of the screen.
Type "I am unable to login" to observe how the system provides relevant information from the knowledge base.