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English
$
USD
I will build an agentic real estate ai chatbot with langgraph and custom sql rag
Mehul Gilotra
About this gig
SCALE YOUR PROPTECH BUSINESS WITH AN EX-ORACLE AI ARCHITECT
Generic AI wrappers fail when processing complex real estate interactions. If a client asks to "find a 3-bed home near good schools under $600k and book a viewing next week," standard chatbots freeze. You need a stateful, deterministic AI Agent that dynamically queries databases, executes cross-selling logic, and coordinates calendar bookings seamlessly.
I build custom, production-grade Real Estate Conversational Agents leveraging LangGraph, FastAPI, and robust relational data models.
WHAT I ENGINEER FOR YOU:
LangGraph Orchestration: Stateful agents , multi-turn requirement adjustments, and conversational loops without context drops.
Custom Natural Language SQL RAG: Precision regex/string text token extractors that automatically parse location, configurations, budget restrictions, and feature keywords directly into database logic.
Fallback & Cross-Sell Logic: If exact matches don't exist, the system adjusts filters dynamically to suggest the closest comparable properties.
Automate your property funnels with high fidelity. CONTACT ME NOW to review your database schema layouts before ordering!
Get to know Mehul Gilotra
Mehul Gilotra
AI Engineer Agentic RAG Chatbots Full Stack
- FromIndia
- Member sinceNov 2023
- Avg. response time1 hour
Languages
Hindi, English
🚀 Elite AI & Full-Stack Engineer | Google & Ex-Oracle
Specializing in Agentic AI Chatbots, Advanced RAG Pipelines, and Enterprise Scale Full-Stack Systems.
Are you looking to go beyond basic OpenAI API wrappers? I build high-performance, autonomous AI Agents and production-grade software engineered for real business growth. Having delivered critical software solutions at Google and Oracle, I know how to design architectures that handle millions of requests while maintaining rock-solid reliability.
Other AI Development Services I Offer
FAQ
How does the chatbot translate natural language text into secure database queries?
I build custom structured tools that safely parse parameters (location, budget, room layouts, and features) from user strings using secure matching techniques and regex token filtering. These clean values are mapped into optimized SQL queries with explicit parameter.
What happens if a buyer searches for a property configuration that is completely out of stock?
The agent uses an intelligent fallback architecture. Instead of failing with a "no results found" error, it expands query filters dynamically within a strict margin (e.g., up to 130% of budget or adjacent layouts) to cross-sell and recommend the next closest match.
