README.md

metadata

title: Customer Support RAG Assistant
emoji: 💬
colorFrom: blue
colorTo: green
sdk: gradio
app_file: app.py

Customer Support RAG Assistant

A Gradio demo for a customer-support Retrieval-Augmented Generation (RAG) pipeline.

Components

• Sentence Transformers for embeddings
• FAISS for FAQ retrieval
• LangGraph for the workflow
• Groq API for hosted language-model generation
• Gradio for the web interface

Configure the Groq API key

In the Space, open Settings → Secrets and add:

• Name: GROQ_API_KEY
• Value: your Groq API key

Optionally add GROQ_MODEL as a Space variable if you want to select a different model enabled for your Groq account.

Do not put API keys in source code or upload them in .env.

Notes

The first question may take longer because the embedding model and FAISS index are initialized on first use. The language model itself is accessed through Groq.