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title: Conversational RAG | PDF + Website
emoji: 📄
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: "1.32.0"
app_file: app.py
pinned: false
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
# Conversational RAG | PDF + Website
This app allows users to upload PDFs or specify a website URL to chat with the content using a conversational RAG (Retrieval-Augmented Generation) setup.
## 💡 Features
- Upload and chat with PDFs
- Load and query website content
- Context-aware Q&A using LangChain + LLaMA3 via Groq
- Session history for persistent conversations
## 🚀 Deployment
1. Add your secrets to Hugging Face Space under **Settings > Secrets**:
| Name | Value |
|--------------------|---------------------------|
| GROQ_API_KEY | your Groq API key |
| HUGGINGFACE_API_KEY| your HF API token |
2. Upload the following files to your Space:
- `app.py`
- `requirements.txt`
- `README.md`
- Optional: `Dockerfile` (only if you choose Docker as your runtime)
3. Select the appropriate runtime: **Python SDK** (or Docker if using `Dockerfile`)
## 🧠 Powered By
- [LangChain](https://www.langchain.com/)
- [Groq](https://console.groq.com/)
- [Hugging Face Spaces](https://huggingface.co/spaces) |