Real Estate AI Assistant

LLM + RAG combined with Document AI to automatically search and recommend properties

Problem

Real estate firms face fragmented, siloed project data across multiple sources making it difficult to quickly search and recommend suitable properties to customers.

Solution

  • LLM + RAG combined with Document AI to extract and index property data from internal listings and scanned documents
  • Natural language query understanding to interpret customer requirements
  • Intelligent property matching with confidence scores and source citations
  • Real-time market data integration for accurate recommendations
INPUT

A customer asks: "Show me apartments in Hanoi with 3 bedrooms, under $150,000, near international schools."

SYSTEM
  • Extracts structured data from internal listings and scanned documents.
  • Uses RAG to combine with real-time market reports and pricing history.
  • LLM interprets query and generates a ranked list with confidence scores.
OUTPUT

"Found 12 matching properties. Top match: Apartment in Cau Giay District, 3BR, $145,000, 500m from Hanoi International School. Source: Company Database + Market Report 2024 Q4."

Section image
1M+
Data Coverage
Property documents indexed
95%+
Query Accuracy
Real-time prediction rate
<300ms
Latency
Average response time
1,000+
Scaling
Concurrent queries supported
~60%
Efficiency Improvement
Improved internal efficiency
~40%
Faster Closure
Reduced deal closure time