README.md

metadata

title: digitizedgemini
app_file: app_gemini.py
sdk: gradio
sdk_version: 5.33.1

DigitizedBrains RAG Chatbot

An intelligent chatbot powered by Google's Gemini AI and Retrieval-Augmented Generation (RAG) technology.

Features

• RAG-based Knowledge Retrieval: Uses comprehensive document knowledge base for accurate responses
• Multi-document Search: Intelligently searches and ranks relevant documents
• Professional AI Representative: Represents Duc Nguyen and DigitizedBrains company
• Lead Capture: Automatically detects and records user contact information
• Unknown Question Tracking: Logs questions that couldn't be answered for improvement

Knowledge Base

The chatbot has access to extensive documentation about:

• Digital transformation strategies
• Business intelligence solutions
• AI implementation approaches
• Company services and expertise
• Industry best practices

Technology Stack

• Google Gemini AI: Advanced language model for natural conversation
• Gradio: User-friendly web interface
• RAG Architecture: Retrieval-Augmented Generation for knowledge-based responses
• Python: Backend implementation

Usage

Simply start a conversation with the chatbot about:

• Digital transformation consulting
• AI and business intelligence solutions
• Company services and capabilities
• Industry expertise and case studies

The chatbot will provide informed responses based on its comprehensive knowledge base.

Environment Variables Required

To run this application, you need to set:

• GEMINI_API_KEY: Your Google Gemini API key
• PUSHOVER_TOKEN: (Optional) For notifications
• PUSHOVER_USER: (Optional) For notifications

Configuration

This Space is configured to run with Gradio and uses the Gemini AI model for intelligent responses.

Bash(cd Agents_Gemini && huggingface-cli login) ⎿ Running in the background (down arrow to manage)

● BashOutput(Reading shell output) ⎿ To log in, huggingface_hub requires a token generated from htt
ps://huggingface.co/settings/tokens . Token can be pasted using 'Right-Click'.

Bạn cần:

1. Truy cập https://huggingface.co/settings/tokens để tạo token
2. Paste token vào terminal
3. Sau khi login, bạn có thể tạo Space bằng lệnh:

huggingface-cli repo create digitizedbrains-rag-chatbot --type=space --space_sdk=gradio

4. Upload files: git init git add . git commit -m "Initial commit" git remote add origin https://huggingface.co/spaces/YOUR_USERNAME/digi
   tizedbrains-rag-chatbot git push origin main

Lưu ý quan trọng:

• Bạn cần đặt GEMINI_API_KEY trong Space Settings của Hugging Face
• Thư mục document/ cần được upload cùng để RAG hoạt động