Banking-Compliance RAG with PII Masking

The Problem

Banking and financial-services teams building RAG chatbots hit compliance walls: embeddings store PII unless masked, self-hosted vector DBs are required for audit, and ungrounded answers on regulated topics (rates, products) are legally dangerous. Generic RAG tutorials skip all three.

The Scavio Solution

Use Scavio as the ingestion source for public product pages and rate sheets, mask PII before embedding with Presidio or a custom regex pass, store embeddings in self-hosted Qdrant or Weaviate inside your VPC, and classify queries upfront — deterministic lookups (rates, fees) hit a structured SQL store, only ambiguous queries fall back to RAG.

Who It Is For

Banking, insurance, and regulated-industry engineering teams building production RAG chatbots with legal and compliance sign-off.

Key Benefits

• PII never enters the vector store
• Self-hosted vector DB keeps embeddings in VPC for audit
• Classifier routes deterministic queries to SQL lookups
• Scavio supplies fresh public product and rate pages
• Metadata filtering on region, product, freshness

Python Example

import os, requests
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}

def fetch_public_pages(bank_domain):
    r = requests.post('https://api.scavio.dev/api/v1/search',
        headers=H, json={'query': f'site:{bank_domain} rates OR fees OR products'}).json()
    return [x['link'] for x in r.get('organic_results', [])[:20]]

def mask_pii(text):
    # Presidio or custom regex pipeline
    return text  # implementation elided

for url in fetch_public_pages('examplebank.com'):
    page = requests.get(url).text
    masked = mask_pii(page)
    # chunk + embed + upsert into Qdrant

JavaScript Example

const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'content-type': 'application/json' };

async function fetchPublicPages(bankDomain) {
  const r = await fetch('https://api.scavio.dev/api/v1/search', {
    method: 'POST', headers: H,
    body: JSON.stringify({ query: `site:${bankDomain} rates OR fees OR products` })
  }).then(r => r.json());
  return (r.organic_results || []).slice(0, 20).map(x => x.link);
}

Platforms Used