{"id":"8b6b5a80-aebc-4846-98c0-b1bf4d7953ea","shortId":"PpGQcz","kind":"skill","title":"Research real estate properties with RAG-backed market analysis","tagline":"Guide an agent through property search, buyer/renter preference capture, and evidence-backed shortlist notes from structured listing data.","description":"# Research real estate properties with RAG-backed market analysis\n\nGuide an agent through property search, buyer/renter preference capture, and evidence-backed shortlist notes from structured listing data.\n\n## Prerequisites\n\nPython 3.11+, Streamlit, LangChain, OpenAI GPT or Llama model access, Pandas, FastEmbed, DocArrayInMemorySearch or ChromaDB, Poetry\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- git clone https://github.com/AleksNeStu/ai-real-estate-assistant.git\n- docker compose -f deploy/compose/docker-compose.yml up --build\n- uv pip install -e \".[dev]\" && python -m uvicorn api.main:app --reload --port 8000\n\nRequirements and caveats from upstream:\n- [![Python](https://img.shields.io/badge/Python-3.12+-blue?style=flat&logo=python&logoColor=white)](https://python.org)\n- **Note:** The demo uses simulated AI responses for instant exploration. Production deployment requires API keys.\n- | **Lines of Code** | 60,000+ (27K Python + 34K TypeScript) |\n\nBasic usage or getting-started notes:\n- [Quick Start](#-quick-start)\n- ## 🚀 Quick Start\n- cp deploy/compose/.env.example deploy/compose/.env\n\n- Source: https://github.com/AleksNeStu/ai-real-estate-assistant\n- Extracted from upstream docs: https://raw.githubusercontent.com/AleksNeStu/ai-real-estate-assistant/HEAD/README.md\n\n## Documentation\n\n- https://github.com/AleksNeStu/ai-real-estate-assistant/blob/main/README.md\n\n## Source\n\n- [Agent Skill 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