Update README.md

README.md

@@ -1,14 +1,48 @@
 ---
-title: InvoiceAgent
-emoji: 📚
-colorFrom: yellow
-colorTo: red
+title: Invoice RAG with MCP
+emoji: 📄
+colorFrom: blue
+colorTo: green
 sdk: gradio
-sdk_version: 5.33.1
+sdk_version: 4.44.0
 app_file: app.py
 pinned: false
 license: mit
-short_description: Upload your invoices and get key value pairs of products,etc
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 📄 Invoice RAG System with MCP Integration
+
+An intelligent system for processing and querying invoice data using RAG (Retrieval Augmented Generation) with MCP (Model Context Protocol) support.
+
+## 🚀 Features
+
+- **PDF Invoice Processing**: Extract and analyze invoice data
+- **RAG System**: Intelligent document retrieval and question answering  
+- **Multiple LLM Support**: Groq integration with various models
+- **MCP Integration**: Expose tools via Model Context Protocol
+- **Interactive UI**: Clean Gradio interface
+
+## 🔧 Setup
+
+1. **Set API Keys**: Add your `GROQ_API_KEY` in the Space settings
+2. **Upload Invoices**: Use the training tab to process your PDFs
+3. **Query Data**: Ask questions about your invoices
+4. **MCP Tools**: Access structured data extraction tools
+
+## 📝 Usage
+
+1. **Train**: Upload invoice PDFs to train the RAG system
+2. **Query**: Ask natural language questions about your invoices
+3. **Extract**: Use MCP tools for structured data extraction
+
+## 🔑 Required Environment Variables
+
+- `GROQ_API_KEY`: Your Groq API key for LLM access
+
+## 🛠️ MCP Integration
+
+The system exposes these MCP tools:
+- `query_invoice_info`: Extract information from invoices
+- `get_invoice_summary`: Get summary of processed invoices  
+- `extract_specific_field`: Extract specific fields
+- `list_available_invoices`: List available invoice sources