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Mortgage Kb Rag

Instant answers to mortgage, credit, and home-buying questions from a curated knowledge base. Ask anything about the buying process, credit repair, loan prog...
即时解答抵押贷款、信用和购房相关问题,基于精选知识库。可询问购房流程、信用修复、贷款进度等各种问题。
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概述

Mortgage Knowledge Base RAG

Answer any mortgage or home-buying question instantly from a curated expert knowledge base. No hallucination — every answer is grounded in the indexed documents.

What It Does

Given a plain-English question, this skill:

  1. Searches the mortgage and real estate knowledge base using semantic similarity
  2. Retrieves the most relevant passages (with source citations)
  3. Synthesizes a clear, accurate answer — citing which document it came from
  4. Flags gaps — if the question isn't in the knowledge base, says so rather than guessing

Use Cases

  • MLOs answering client questions quickly without Googling
  • Real estate agents prepping for buyer consultations
  • First-time buyers who need straight answers about the process
  • Agents building FAQ content for their websites
  • Verifying what a lender told you is actually correct

Inputs

{
  "query": "What credit score do I need to buy a house?",
  "category": "credit|loans|process|terminology|programs|investing",
  "detail_level": "brief|standard|detailed",
  "audience": "buyer|agent|mlo|investor"
}
  • query (required): Any natural-language question about mortgages, credit, or home buying
  • category (optional): Narrows search to a specific knowledge domain
  • detail_level (optional, default: standard): How much detail to return
  • audience (optional, default: buyer): Tailors language complexity to the reader

Outputs

{
  "answer": "To qualify for a conventional loan, most lenders require a minimum 620 credit score. FHA loans accept scores as low as 580 with 3.5% down, or 500 with 10% down. However, a score above 740 gets you the best rates — typically 0.5-1.0% lower APR than a 620, which translates to $150-300/month on a $350K loan.",
  "confidence": "high",
  "sources": [
    {
      "document": "First-Time Buyer Roadmap",
      "section": "Phase 1: Financial Snapshot",
      "relevance": 0.94
    },
    {
      "document": "90-Day Credit Repair Playbook",
      "section": "Home Price Math: Real Dollar Impact by Credit Tier",
      "relevance": 0.87
    }
  ],
  "related_questions": [
    "How do I improve my credit score in 90 days?",
    "What is the difference between FHA and conventional loans?",
    "How much does a 1-point credit score difference affect my mortgage rate?"
  ],
  "knowledge_gap": false
}

Knowledge Base Coverage

The indexed knowledge base covers:

Credit & Financing

  • Credit score tiers and their rate impact (real dollar math)
  • The 5 credit factors and which to improve first
  • FHA, conventional, VA, USDA loan programs
  • Down payment assistance programs (national + state-level)
  • Debt-to-income ratio calculation and limits
  • What triggers hard vs. soft credit inquiries

The Buying Process

  • Pre-approval vs. pre-qualification (what agents actually care about)
  • Making competitive offers in different market conditions
  • Inspection timelines and what to push back on
  • Closing costs breakdown (who pays what)
  • The 45-day closing timeline step-by-step
  • What NOT to do after going under contract

Credit Repair

  • Dispute letter process (FCRA rights)
  • Pay-for-delete negotiation strategy
  • Goodwill letter templates and when they work
  • Credit utilization optimization (fastest score mover)
  • Authorized user strategy
  • 48-hour rapid rescore process

Market & Terminology

  • 40+ glossary terms (escrow, PMI, LTV, DTI, rate lock, etc.)
  • How to read a Loan Estimate (LE) vs. Closing Disclosure (CD)
  • Rate lock timing strategy
  • Understanding APR vs. interest rate

Lead Nurture & Follow-Up (MLO/Agent Tools)

  • 90-day credit repair client journey
  • Follow-up script patterns by lead stage
  • Objection handling (rates, timing, affordability)

Pricing

TierPriceQueries
----------------------
Single query$11 question
Pack$710 questions
Unlimited (30 days)$19Unlimited

Technical Notes

  • Knowledge base: ~450 Q&A pairs + sourced document passages
  • Retrieval: TF-IDF + semantic re-ranking
  • Latency: <2s for standard queries
  • Hallucination guard: returns knowledge_gap: true if confidence < 0.70
  • Updates: knowledge base refreshed monthly with new loan program data

版本历史

共 1 个版本

  • v1.0.2 当前
    2026-05-03 10:12 安全 安全

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