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Rag Backed Real Estate Property Research
ASecurityGuide an agent through property search, buyer/renter preference capture, and evidence-backed shortlist notes from structured listing data.
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- Added June 2, 2026
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Security analysis
92/100- Installs packages at runtime which could introduce malicious dependencies
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[](https://www.skillsdirectory.com/skills/agentskillexchange-rag-backed-real-estate-property-research)---
name: "Research real estate properties with RAG-backed market analysis"
slug: "rag-backed-real-estate-property-research"
description: "Guide an agent through property search, buyer/renter preference capture, and evidence-backed shortlist notes from structured listing data."
github_stars: 170
verification: "security_reviewed"
source: "https://github.com/AleksNeStu/ai-real-estate-assistant"
author: "AleksNeStu"
publisher_type: "individual"
category: "Research & Scraping"
framework: "Custom Agents"
tool_ecosystem:
github_repo: "AleksNeStu/ai-real-estate-assistant"
github_stars: 170
---
# Research real estate properties with RAG-backed market analysis
Guide an agent through property search, buyer/renter preference capture, and evidence-backed shortlist notes from structured listing data.
## Prerequisites
Python 3.11+, Streamlit, LangChain, OpenAI GPT or Llama model access, Pandas, FastEmbed, DocArrayInMemorySearch or ChromaDB, Poetry
## Installation
Use the upstream install or setup path that matches your environment:
- git clone https://github.com/AleksNeStu/ai-real-estate-assistant.git
- docker compose -f deploy/compose/docker-compose.yml up --build
- uv pip install -e ".[dev]" && python -m uvicorn api.main:app --reload --port 8000
Requirements and caveats from upstream:
- [](https://python.org)
- **Note:** The demo uses simulated AI responses for instant exploration. Production deployment requires API keys.
- | **Lines of Code** | 60,000+ (27K Python + 34K TypeScript) |
Basic usage or getting-started notes:
- [Quick Start](#-quick-start)
- ## π Quick Start
- cp deploy/compose/.env.example deploy/compose/.env
- Source: https://github.com/AleksNeStu/ai-real-estate-assistant
- Extracted from upstream docs: https://raw.githubusercontent.com/AleksNeStu/ai-real-estate-assistant/HEAD/README.md
## Documentation
- https://github.com/AleksNeStu/ai-real-estate-assistant/blob/main/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/rag-backed-real-estate-property-research/)
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