How it works
Gym Assistant
This satirical chatbot experience is built on an API-first RAG system.
It uses a curated knowledge base to deliver grounded, context-aware
answers through a FastAPI backend and branded chat interface.
Business Applications
1
Customer support automation
RAG can answer customer questions using approved company documents, FAQs, and policies for faster support.
Support
2
Sales enablement
It can help sales teams quickly retrieve product details, pricing information, and proposal content.
Sales
3
Document-heavy industries
Legal, healthcare, finance, insurance, and education teams can provide answers grounded in trusted documents while keeping data confidential.
Knowledge Base
High-Level Technical Workflow
1
Knowledge Ingestion & Parsing
Source documents are loaded, processed, and split into searchable chunks for retrieval.
2
User Questions
Users submit freeform questions through the chat interface, which are sent to the backend for handling.
3
RAG Retrieval & Response Generation
The system retrieves the most relevant knowledge base content and uses it to generate accurate, in-character responses.
4
Frontend Chat Experience
The frontend provides a branded conversational interface with live responses and suggested prompts.