Update README.md

README.md

@@ -1,8 +1,8 @@
 ---
-title: PDFQueryApplication
-emoji: 🌖
-colorFrom: yellow
-colorTo: green
+title: 📚 RAG-based PDF Query Application
+emoji: 📚
+colorFrom: purple
+colorTo: blue
 sdk: streamlit
 sdk_version: 1.42.0
 app_file: app.py
@@ -10,3 +10,30 @@ pinned: false
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+# 📚 RAG-based PDF Query Application
+
+This application leverages Retrieval-Augmented Generation (RAG) to enable users to ask questions about a PDF document. The PDF is processed and split into chunks, which are then indexed and used to find the most relevant information when the user submits a query.
+
+## Features
+
+- Upload a PDF and ask questions based on its contents.
+- PDF is processed using **PyMuPDF** and text is split into chunks.
+- **FAISS** is used to create an index for quick retrieval of relevant text chunks.
+- The application uses the **Groq API** for generating answers based on the retrieved context.
+
+## How it works
+
+1. Upload a PDF document.
+2. The application extracts text from the PDF and splits it into smaller chunks.
+3. A **FAISS index** is built using embeddings of these chunks.
+4. When you submit a query, the system retrieves the most relevant chunks and sends them to the **Groq API** to generate an answer.
+
+## Installation
+
+Clone the repository and install the required dependencies:
+
+```bash
+git clone https://huggingface.co/spaces/your-username/your-app-name
+cd your-app-name
+pip install -r requirements.txt