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| 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) | |
| ```bash | |
| # 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](./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](https://github.com/Akshay-S-PY/sap-chatboot) | |
| - 🔗 [Supabase](https://supabase.com) | |
| - 🤗 [HuggingFace](https://huggingface.co) | |
| - 💬 [SAP Community](https://community.sap.com) | |
| ## ⚠️ 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 | |
| --- | |
| **Made with ❤️ for the SAP Community** | |
| Have questions? Check the [documentation](./SUPABASE_SETUP.md) or create an [issue](https://github.com/Akshay-S-PY/sap-chatboot/issues). | |