import streamlit as st from utils import load_css st.set_page_config( page_title="Knowledge Management RAG", page_icon="🧠", layout="wide" ) load_css() # Hero Section col1, col2 = st.columns([2, 1]) with col1: st.markdown('

Knowledge Management

', unsafe_allow_html=True) st.markdown('

Your Second Brain, Supercharged by AI

', unsafe_allow_html=True) st.markdown("""

Welcome to your local-first RAG System. Seamlessly upload documents, index them with advanced semantic search, and chat with your data using state-of-the-art AI models. Secure, private, and powerful.

""", unsafe_allow_html=True) with col2: # Statistic / Quick Action Placeholder st.markdown("""
🚀

Get Started

Upload your first document to unlock the power of AI.

""", unsafe_allow_html=True) st.page_link("pages/Documents.py", label="Start Uploading", icon="📂", use_container_width=True) st.divider() # Key Features Section st.markdown('

✨ Powerful Features

', unsafe_allow_html=True) col1, col2, col3 = st.columns(3) def feature_card(icon, title, points, color_accent): points_html = "".join([f"
  • {p}
    • " for p in points]) return f"""
    {icon}
    {title}
    """ with col1: st.markdown(feature_card( "📄", "Smart Ingestion", [ "Docling Parsing: High-fidelity PDF processing.", "Async Processing: Non-blocking uploads.", "Status Tracking: Real-time updates." ], "linear-gradient(90deg, #4CC9F0, #4361EE)" # Blue Cyan Gradient ), unsafe_allow_html=True) with col2: st.markdown(feature_card( "🧠", "Intelligent Retrieval", [ "Semantic Search: Deep meaning extraction.", "Local Vector DB: Private ChromaDB storage.", "Query Expansion: Enhanced recall." ], "linear-gradient(90deg, #7209B7, #F72585)" # Purple Pink Gradient ), unsafe_allow_html=True) with col3: st.markdown(feature_card( "💬", "Context-Aware Chat", [ "Gemini Powered: Advanced reasoning.", "History Aware: Fluid conversations.", "Citations: (Coming Soon) Fact-checking." ], "linear-gradient(90deg, #FF9E00, #FF0054)" # Orange Red Gradient ), unsafe_allow_html=True) st.divider() # How It Works / Getting Started st.markdown('

    🚀 How It Works

    ', unsafe_allow_html=True) step1, step2, step3 = st.columns(3) with step1: st.markdown("""
    01

    Upload

    Go to Documents and upload your files.

    """, unsafe_allow_html=True) st.page_link("pages/Documents.py", label="Go to Documents", icon="📂", use_container_width=True) with step2: st.markdown("""
    02

    Process

    The system parses, embeds, and indexes your content automatically.

    """, unsafe_allow_html=True) with step3: st.markdown("""
    03

    Chat

    Ask anything. Get instant answers grounded in your data.

    """, unsafe_allow_html=True) st.divider() # Tech Stack Footer with st.expander("🛠️ Under the Hood"): st.markdown(""" """, unsafe_allow_html=True) st.markdown("
    Built with ❤️ by Logan | version 2.1.0
    ", unsafe_allow_html=True)