Update README.md

README.md

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----
-title: RAG APP
-emoji: 🐢
-colorFrom: red
-colorTo: green
-sdk: streamlit
-sdk_version: 1.43.2
-app_file: app.py
-pinned: false
-license: mit
-short_description: 'The DeepSeek RAG Chatbot '
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# DeepSeek RAG Chatbot 🤖
+
+A powerful Retrieval-Augmented Generation (RAG) chatbot that allows users to upload documents and get AI-powered responses based on their content.
+
+## Features
+
+- 📄 Document Upload: Support for PDF and TXT files
+- 🔍 Intelligent Document Processing: Automatic text chunking and embedding
+- 💬 Interactive Chat Interface: Real-time conversation with context-aware responses
+- 🧠 Vector Storage: Efficient document retrieval using FAISS
+- 🔄 Conversation Memory: Maintains chat history and context
+
+## How to Use
+
+1. Enter your DeepSeek API key in the application
+2. Upload your documents (PDF or TXT files)
+3. Start chatting with the AI about your documents!
+
+## Technical Stack
+
+- Streamlit for the web interface
+- LangChain for document processing
+- FAISS for vector storage
+- HuggingFace Embeddings
+- DeepSeek API for AI responses
+
+
+
+## License
+
+MIT License