GymRat is a lightweight Retrieval-Augmented Generation (RAG) system that powers a chat API for answering gym and fitness-related questions. It uses a custom prompt format based on Alpaca-style instruction-response pairs and integrates a vector store for context-aware responses.
- 🧠 Retrieval-Augmented Generation with embedded fitness Q&A data
- 🗣️ Simple chat API endpoint for real-time interaction
- 📚 Uses Alpaca-style instruction formatting
- ⚙️ Easily extensible with different LLMs and vector DBs
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Clone the repo
git clone https://github.com/yourusername/gymrat.git cd gymrat -
Install dependencies
pip install -r requirements.txt