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project transferred to Langgraph implementation. |
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---
title: AgenticRAG
emoji: 🌖
colorFrom: pink
colorTo: pink
sdk: gradio
sdk_version: 5.29.1
app_file: app.py
pinned: false
license: apache-2.0
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
# Agentic RAG with LangGraph
A simple agentic RAG system using LangGraph with Azure OpenAI.
## Setup
1. **Install dependencies:**
```bash
pip install -r requirements.txt
```
2. **Create `.env` file in the project root:**
```
AZURE_OPENAI_ENDPOINT=your_azure_endpoint
AZURE_OPENAI_API_KEY=your_api_key
AZURE_OPENAI_DEPLOYMENT_NAME=your_deployment_name
AZURE_OPENAI_API_VERSION=2024-02-01
```
## Run
```bash
python app.py
```
The agent will automatically query for "Lady Ada Lovelace" and show the response.
## Tools Available
- **Guest Info**: Retrieves guest information from the dataset
- **Weather Info**: Provides dummy weather data
- **Hub Stats**: Gets Hugging Face model statistics