Installable skillMIT

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.

BY agentskillexchangeUPDATED Oct 27, 2026
INTENDED FOR◈OpenClawInstall in a listed agent.

instructions.md

---
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:
- [![Python](https://img.shields.io/badge/Python-3.12+-blue?style=flat&logo=python&logoColor=white)](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)
- ## 🚀 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/)
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.