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# RAG Chat Evaluator Bot | |
A lightweight chatbot app that uses LangChain RAG for chunk retrieval, OpenAI for generation, and Gemini for response evaluation. | |
## π§ Features | |
- π Retrieval-Augmented Generation (RAG) with LangChain + ChromaDB | |
- π€ Chat interface powered by OpenAI's GPT | |
- β Gemini-based evaluator checks tone + accuracy | |
- π οΈ Records user emails to Google Sheets or CSV fallback | |
## π Setup | |
1. Clone the repo: | |
```bash | |
git clone https://github.com/your-username/rag-chat-evaluator-bot.git | |
cd career-chats | |
``` | |
2. Create a virtual environment: | |
```bash | |
python -m venv venv | |
source venv/bin/activate # On Windows: venv\Scripts\activate | |
``` | |
3. Install dependencies: | |
```bash | |
install -r requirements.txt | |
``` | |
2. Keys in `.env` file: | |
``` | |
GOOGLE_API_KEY=<your-api-key> | |
OPENAI_API_KEY=<your-api-key> | |
GOOGLE_CREDENTIALS_JSON=<b64encoded-json> | |
``` | |