Problem
Real estate firms face fragmented, siloed project data across multiple sources making it difficult to quickly search and recommend suitable properties to customers.
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Real Estate AI Assistant
LLM + RAG combined with Document AI to automatically search and recommend properties
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."
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