README.md

metadata

title: SAP Chatbot
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: streamlit
sdk_version: 1.28.0
app_file: app.py
pinned: false

🧩 SAP Intelligent Assistant

A free, open-source RAG (Retrieval-Augmented Generation) system for answering SAP-related questions using cloud LLMs and vector databases.

✨ Key Features

• ✅ 100% Free & Open Source
• ✅ Multi-source SAP data (Community, GitHub, StackOverflow, Dev.to, Medium)
• ✅ Production-ready: Supabase + pgvector vector database
• ✅ HuggingFace Inference API for fast responses
• ✅ Automatic data ingestion via GitHub Actions
• ✅ Beautiful Streamlit UI
• ✅ Multi-user cloud hosting
• ✅ Conversation history with source attribution

🚀 How It Works

1. Data Collection → 2. Embeddings → 3. Vector Search → 4. Answer Generation
   (SAP sources)       (sentence-         (Supabase        (HF Inference
                       transformers)      pgvector)        API)

Supported Topics:

• SAP Basis Administration
• SAP ABAP Development
• SAP HANA
• SAP Fiori & UI5
• SAP Security & Authorization
• SAP BTP (Business Technology Platform)
• SAP Integration Suite
• SAP Performance Tuning
• And more!

🔧 Setup

1. Local Development (with Ollama)

# Clone repo
git clone https://github.com/Akshay-S-PY/sap-chatboot
cd sap-chatboot

# Create virtual environment
python -m venv .venv
source .venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Build dataset
python tools/build_dataset.py

# Run locally
streamlit run app.py

2. Production (Supabase + HF Spaces)

See SUPABASE_SETUP.md for step-by-step cloud deployment.

📊 Architecture

GitHub Repository (sap-chatboot)
        ↓
GitHub Actions Workflows:
  1. build_dataset.yml → Dataset + Upload to HF Hub
  2. ingest.yml → Ingest to Supabase
  3. deploy_spaces.yml → Deploy to HF Spaces
        ↓
Supabase Database (pgvector + RLS)
        ↓
Streamlit App (HF Spaces)
        ↓
User Query → Vector Search → LLM Response + Sources

📚 Tech Stack

Component	Technology	Cost
Vector Database	Supabase (pgvector)	Free
Embeddings	sentence-transformers	Free
LLM API	HuggingFace Inference	Free
App Hosting	HF Spaces	Free
Data Pipeline	GitHub Actions	Free

💡 Use Cases

• Quick SAP Questions: Get instant answers about SAP config, ABAP, Basis
• Learning: Understand SAP concepts with cited sources
• Team Knowledge Base: Share with your entire team
• Integration: Use programmatically via Python API

🔗 Resources

• 📖 GitHub Repository
• 🔗 Supabase
• 🤗 HuggingFace
• 💬 SAP Community

⚠️ Important Notes

• First run builds dataset (~5-10 min)
• Works 100% offline with Ollama
• All data sources are publicly available and respectfully scraped
• No personal data is stored

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Made with ❤️ for the SAP Community

Have questions? Check the documentation or create an issue.