Initial commit3

README.md

@@ -1,13 +1,45 @@
 ---
-title: Metadata Filtering
+title: Assignment 4 Metadata Filtering
 emoji: 💬
 colorFrom: yellow
 colorTo: purple
-sdk: gradio
-sdk_version: 5.0.1
+sdk: streamlit
+sdk_version: 1.35.0
+app_file: app.py
+pinned: false---
+title: RAG Re-Ranking
+emoji: 🔍
+colorFrom: blue
+colorTo: green
+sdk: streamlit
+sdk_version: 1.28.1
 app_file: app.py
 pinned: false
+license: mit
+---
+
+# RAG Re-Ranking Application
+
+This is a Retrieval-Augmented Generation (RAG) application with re-ranking capabilities built using Streamlit.
+
+## Features
+
+- Document retrieval and ranking
+- Interactive user interface
+- Re-ranking algorithms for improved results
+
+## Usage
+
+The application runs on Streamlit and provides an intuitive interface for RAG-based document retrieval and re-ranking.
+
+## Local Development
+
+To run locally:
+```bash
+streamlit run app.py
+```
 license: apache-2.0
 ---
+---
 
-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).
+A private Retrieval-Augmented Generation (RAG) chatbot using AWS Bedrock + Claude + Titan Embeddings + Chroma DB. Upload PDFs or TXT files and ask questions from the content.