AI Developer Needed – Build RAG-Based Xactimate Line Item Translator (OpenAI + Vector DB) - Contract to Hire

I own a restoration company and use Xactimate daily for fire and water loss estimating.

I want to build an internal web-based AI tool that converts plain English scope notes into the closest matching Xactimate line item codes.

Example:

Input:

“Remove soot damaged tile floor in kitchen. 4 ft flood cut drywall. Replace 5 inch baseboard.”

Expected Output (structured JSON):

• FCT DEM

• DRY 4

• VNB R&R

This will be a private internal tool (not public SaaS at this stage).

Project Scope

The application should:

1. Accept paragraph-style scope notes

2. Break the text into individual scope tasks

3. Identify action types (DEM, REP, R&R, D&R)

4. Use semantic search to match each task to the closest line item from a provided Xactimate dataset

5. Return structured output (code, description, confidence score)

6. Flag ambiguous matches instead of hallucinating codes

The system MUST use a Retrieval-Augmented Generation (RAG) architecture.

The AI should NOT guess or invent codes. It must only select from the provided database.

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Technical Requirements

Preferred Stack:

Backend:

• Python (FastAPI preferred)

• OpenAI API (GPT-4 class model)

• Vector database (Supabase, Pinecone, or similar)

Frontend:

• Simple web interface (React, Next.js, or similar)

• Text input field

• “Translate” button

• Results panel with structured output

Database:

I will provide a private export of:

• Line item code

• Description

• Category

• Region tag

This must be embedded and stored in a vector database for semantic retrieval.

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Required Experience

You must have:

• Proven experience building RAG systems

• OpenAI API integration experience

• Experience with vector databases

• Experience designing AI guardrails to prevent hallucinations

• Ability to explain architecture clearly

Please include examples of similar AI systems you’ve built.

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Deliverables

• Functional web-based MVP

• Vector search implementation

• AI prompt architecture

• Clear deployment documentation

• Source code ownership transferred to me

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Timeline

3–6 weeks preferred.

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Budget

$5,000–$10,000 depending on experience and proposal quality.

Open to fixed-price proposals.

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