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- # 🧠 AI Embedded Knowledge Agent
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-
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- A comprehensive Retrieval-Augmented Generation (RAG) system that allows you to upload documents, process URLs, and ask intelligent questions about your knowledge base. Built with modern AI technologies and optimized for deployment on Hugging Face Spaces.
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-
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- ## πŸŽ₯ Demo Video
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-
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- Watch our comprehensive demo showcasing the live search capabilities and RAG system in action:
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-
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- [![RAG AI Demo](https://img.shields.io/badge/πŸŽ₯_Watch_Demo-Loom-00D4AA?style=for-the-badge)](https://www.loom.com/share/f1a3c79b75ad4b65b528b2973612cdd9?sid=a0932972-2926-42ab-a031-3149e40b1b97)
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-
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- _See how the system processes documents, performs live web searches, and generates intelligent responses with real-time data integration._
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-
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- ## ✨ Features
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-
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- ### πŸ”₯ Core Capabilities
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-
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- - **πŸ“„ Document Processing**: Support for PDF, DOCX, CSV, XLSX, PPTX, TXT, MD, and more
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- - **🌐 URL Processing**: Extract content from web pages with intelligent crawling
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- - **πŸ” Live Web Search**: Real-time web search using Tavily API for up-to-date information
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- - **🧠 Smart Q&A**: Ask questions and get contextual answers with source attribution
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- - **🎯 High Accuracy**: Advanced embedding and similarity search for precise results
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- - **⚑ Real-time Processing**: Fast document ingestion and query processing
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-
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- ### πŸš€ Advanced Features
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-
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- - **πŸ€– Multiple LLM Support**: Gemini 2.5 Flash, OpenAI GPT models with automatic fallback
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- - **πŸ“Š Analytics Dashboard**: Query analytics, system metrics, and performance monitoring
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- - **πŸ” Smart Query Processing**: Query expansion, caching, and suggestion system
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- - **πŸ“š Knowledge Base Management**: View, manage, and export your knowledge base
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- - **πŸ›‘οΈ Robust Error Handling**: Graceful degradation and comprehensive error recovery
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- - **🎨 Beautiful UI**: Modern Gradio interface optimized for user experience
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-
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- ### πŸ—οΈ Technical Excellence
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-
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- - **πŸ”§ Modular Architecture**: Clean, maintainable, and extensible codebase
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- - **βš™οΈ Configurable**: Comprehensive YAML configuration for all components
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- - **πŸ”’ Secure**: Input sanitization, rate limiting, and security best practices
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- - **πŸ“ˆ Scalable**: Designed for production deployment with monitoring and health checks
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- - **πŸ§ͺ Well-tested**: Comprehensive test suite and example usage
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-
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- ## 🎯 Project Origin & Agentic Vision
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-
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- This project was initially conceived and developed as part of the **`agents-mcp-hackathon`**, showcasing a robust **`agent-demo-track`** for intelligent knowledge retrieval and generation. Our vision was to build an autonomous AI agent capable of:
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-
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- - **🧠 Intelligent Information Retrieval**: Acting as a smart agent to fetch, process, and synthesize information from diverse sources (documents, URLs, live web).
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- - **πŸš€ Dynamic Query Routing**: Intelligently deciding between local knowledge base retrieval and real-time web search based on query intent.
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- - **πŸ’‘ Autonomous Knowledge Management**: Providing a self-contained system for building and querying a dynamic knowledge base.
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-
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- This system embodies the principles of agentic AI, offering a powerful, self-sufficient solution for complex information needs.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ title: AI Embedded Knowledge Agent
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+ emoji: 🧠
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+ colorFrom: indigo
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+ colorTo: purple
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+ sdk: gradio
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+ sdk_version: "5.33.0"
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+ app_file: app.py
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+ pinned: false
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+ ---
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+
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+
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+
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+ # 🧠 AI Embedded Knowledge Agent (Payman)
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+
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+ A comprehensive Retrieval-Augmented Generation (RAG) system that allows you to upload documents, process URLs, and ask intelligent questions about your knowledge base. Built with modern AI technologies and optimized for deployment on Hugging Face Spaces.
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+
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+ ## πŸŽ₯ Demo Video
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+
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+ Watch our comprehensive demo showcasing the live search capabilities and RAG system in action:
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+
22
+ [![RAG AI Demo](https://img.shields.io/badge/πŸŽ₯_Watch_Demo-Loom-00D4AA?style=for-the-badge)](https://www.loom.com/share/f1a3c79b75ad4b65b528b2973612cdd9?sid=a0932972-2926-42ab-a031-3149e40b1b97)
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+
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+ _See how the system processes documents, performs live web searches, and generates intelligent responses with real-time data integration._
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+
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+ ## ✨ Features
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+
28
+ ### πŸ”₯ Core Capabilities
29
+
30
+ - **πŸ“„ Document Processing**: Support for PDF, DOCX, CSV, XLSX, PPTX, TXT, MD, and more
31
+ - **🌐 URL Processing**: Extract content from web pages with intelligent crawling
32
+ - **πŸ” Live Web Search**: Real-time web search using Tavily API for up-to-date information
33
+ - **🧠 Smart Q&A**: Ask questions and get contextual answers with source attribution
34
+ - **🎯 High Accuracy**: Advanced embedding and similarity search for precise results
35
+ - **⚑ Real-time Processing**: Fast document ingestion and query processing
36
+
37
+ ### πŸš€ Advanced Features
38
+
39
+ - **πŸ€– Multiple LLM Support**: Gemini 2.5 Flash, OpenAI GPT models with automatic fallback
40
+ - **πŸ“Š Analytics Dashboard**: Query analytics, system metrics, and performance monitoring
41
+ - **πŸ” Smart Query Processing**: Query expansion, caching, and suggestion system
42
+ - **πŸ“š Knowledge Base Management**: View, manage, and export your knowledge base
43
+ - **πŸ›‘οΈ Robust Error Handling**: Graceful degradation and comprehensive error recovery
44
+ - **🎨 Beautiful UI**: Modern Gradio interface optimized for user experience
45
+
46
+ ### πŸ—οΈ Technical Excellence
47
+
48
+ - **πŸ”§ Modular Architecture**: Clean, maintainable, and extensible codebase
49
+ - **βš™οΈ Configurable**: Comprehensive YAML configuration for all components
50
+ - **πŸ”’ Secure**: Input sanitization, rate limiting, and security best practices
51
+ - **πŸ“ˆ Scalable**: Designed for production deployment with monitoring and health checks
52
+ - **πŸ§ͺ Well-tested**: Comprehensive test suite and example usage
53
+
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+ ## 🎯 Project Origin & Agentic Vision
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+
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+ This project was initially conceived and developed as part of the **`payman`**, showcasing a robust **`paymanai`** for intelligent knowledge retrieval and generation. Our vision was to build an autonomous AI agent capable of:
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+
58
+ - **🧠 Intelligent Information Retrieval**: Acting as a smart agent to fetch, process, and synthesize information from diverse sources (documents, URLs, live web).
59
+ - **πŸš€ Dynamic Query Routing**: Intelligently deciding between local knowledge base retrieval and real-time web search based on query intent.
60
+ - **πŸ’‘ Autonomous Knowledge Management**: Providing a self-contained system for building and querying a dynamic knowledge base.
61
+
62
+ This system embodies the principles of agentic AI, offering a powerful, self-sufficient solution for complex information needs.