README.md

---
title: RAG Generation Service
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
license: mit
---

# RAG Generation Service

This is a Retrieval-Augmented Generation (RAG) service that answers questions based on provided context. 

## How to use

1. Enter your question in the "Query" field
2. Paste relevant documents or context in the "Context" field  
3. Click submit to get an AI-generated answer based on your context

## Features

- Uses state-of-the-art language models via Hugging Face Inference API
- Supports multiple model providers
- Clean, intuitive interface
- Example queries to get started

## Configuration

This Space requires a `HF_TOKEN` environment variable to be set with your Hugging Face access token.

## Model Support

By default, this uses `meta-llama/Meta-Llama-3-8B-Instruct`, but you can configure different models via environment variables.