Update README.md

README.md

@@ -10,7 +10,18 @@ pinned: false
 hf_oauth: true
 hf_oauth_scopes:
 - inference-api
-short_description: 'Contextual Chatbot using Python, LangChain, Llama3.2 (3B) '
+short_description: 'Contextual Chatbot using Python, LangChain, Llama3.2 (3B)'
+long_description : 'This project is a Contextual PDF ChatBot built with Python, Ollama, LangChain, and ChromaDB.  
+                    It enables users to upload documents (PDFs or images) and interact with them through natural language queries.  
+
+                  - **Flask** powers the backend APIs for document upload, query handling, and retrieval.  
+                  - **MongoDB** stores document metadata and conversation history, ensuring persistent and contextual chat.  
+                  - **ChromaDB** manages vector embeddings for efficient semantic search and retrieval.  
+                  - **Llama 3.2 (3B)** is used as the language model, running locally via Ollama.  
+                  
+                  Together, this system provides an end-to-end RAG (Retrieval-Augmented Generation) pipeline for intelligent, 
+                  document-aware conversations.  
+'
 ---
 
 An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).