Challenges Before AI Implementation
The real estate company faced significant challenges before implementing AI:
RikkAI
Overview: RikkAI is an AI-based search engine application specifically designed for the real estate industry. Built on an open-source Large Language Model (LLM) integrated with LangChain, RikkAI performs Google searches to provide relevant and comprehensive results tailored to real estate queries.
Labor-Intensive Processes
Manual searches were time-consuming and delayed project identification.
High Operational Costs
The traditional approach led to increased costs and risks of human error.
Limited Data Analysis
Outdated methods hindered effective analysis of large datasets and market trend predictions.
Reduced Competitiveness
Inefficiencies impacted their ability to scale operations and meet client expectations.
How It Works
RikkAI’s intelligent chatbot revolutionizes property information retrieval by:
- Real-Time Data Fetching: Fetches real-time property data directly from Google.
- Instant Filtering: Filters information based on price and other criteria.
- Enhanced Experience: Provides accurate, up-to-date property details and suggests photos for a better user experience.
Technology
- Python
- FastAPI
- LangChain
- SerpAPI (for Google searches)
- LAMA 3 Model
- React