{"id":33345693,"url":"https://github.com/runar-olsen/ai-support-api","last_synced_at":"2026-04-12T14:51:51.432Z","repository":{"id":325123795,"uuid":"1099930397","full_name":"Runar-Olsen/ai-support-api","owner":"Runar-Olsen","description":"En moderne AI-drevet kundestøtte-API-tjeneste bygget med FastAPI, vector search, og en RAG-pipeline. 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auto-generated\n│  └─ kb_index.csv                    # auto-generated\n│\n├─ src/\n│  ├─ api.py                          # FastAPI application\n│  ├─ embeddings.py                   # builds embeddings (mock or real)\n│  ├─ retriever.py                    # vector search\n│  ├─ rag.py                          # RAG generation + mock RAG\n│  ├─ utils.py                        # logging, env, paths, mock detection\n│  ├─ models.py                       # Pydantic request/response schemas\n│  └─ __init__.py\n│\n├─ client.py                          # Simple CLI API tester\n├─ .env                               # (optional) Your OpenAI API key\n├─ .gitignore\n├─ requirements.txt\n└─ README.md\n```\n\n---\n\n## 🧪 Mock Mode (Default)\nMock Mode aktiveres automatisk når OPENAI_API_KEY ikke finnes.\n\n### I mock-modus:\n\n- Embeddings genereres deterministisk -\u003e ingen API-kall\n- Query embeddings genereres deterministisk -\u003e ingen API-kall\n- RAG-svaret er et simulert AI-svar som viser hvordan en ekte RAG-modell ville reagert\n\n### Dette gjør prosjektet: \n- trygt\n- gratis\n- kjørbart for alle\n- perfekt for portefølje og intervjuer\n\n### 💡 Du trenger ikke API-nøkkel for å teste prosjektet.\nAlt fungerer 100% i Mock Mode\n\n---\n\n## ▶️ Kom i gang\n\n### 1. Opprett og aktiver virtuelt miljø\n```bash\npython -m venv .venv\n.\\.venv\\Scripts\\Activate.ps1\npip install -r requirements.txt\n```\n\n### 2. Bygg embeddings (Mock Mode eller Real Mode)\n```bash\npython -m src.embeddings\n```\n- Hvis ingen .env -\u003e mock embeddings genereres\n\n- hvis .env inneholder en nøkkel:\n```ini\nOPENAI_API_KEY=sk-proj-xxxx\n```\n-\u003e ekte embeddings genereres\n\n### 3. Start API-server\n```bash\nuvicorn src.api:app --reload\n```\nAPIet kjører på:\n👉 http://127.0.0.1:8000\n👉 Swagger UI: http://127.0.0.1:8000/docs\n\n---\n\n## ❓ Eksempel på API-request\nGjennom Swagger UI eller client.py\n```json\n{\n  \"question\": \"How can I cancel my contract?\",\n  \"top_k\": 3,\n  \"include_context\": true\n}\n```\n\n---\n\n## 🧠 Eksempel på Mock RAG Svar\n```text\n[MOCK RAG RESPONSE]\nBased on the knowledge base, the question is most similar to 'Cancel contract'.\nThis is a simulated RAG-style response. In production, an LLM would generate a precise answer.\n```\n\n---\n\n## 🧩 Teknologier brukt\n- FastAPI - moderne Python API-framework\n- OpenAI Models (valgfritt) - embeddings + RAG\n- Mock AI System - null kostnader, fullt fungerende\n- Vector Search - cosine similarity + normalized vectors\n- Pydantic - request/response validering\n- Uvicorn - ASGI-server\n\n---\n\n## 📌 Real Mode (valgfritt)\nFor å aktivere ekte AI-svar:\n\n1. Legg inn .env i prosjekt-roten:\n```ini\nOPENAI_API_KEY=sk-proj-xxxx\n```\n\n2. Kjør embedding-pipelinen på nytt:\n```bash\npython -m src.embeddings\n```\n\n3. Start API:\n```bash\nuvicorn src.api:app --reload\n```\nNå bruker systemet ekte OpenAI embeddings + GPT-4o-mini for RAG.\n\n## 🧭 Forfatter\n### Runar Olsen\nData Analyst — Python • Machine Learning • FastAPI • Power BI\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frunar-olsen%2Fai-support-api","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frunar-olsen%2Fai-support-api","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frunar-olsen%2Fai-support-api/lists"}