Financial Intelligence Platform

NL-to-SQL Live Demo

Ask any business question in plain English. A local Llama model generates the SQL, runs it against a DuckDB warehouse of 700k+ financial records, and returns real results in seconds.

Local Llama (Ollama) DuckDB FastAPI 500k transactions 200k loans 20 stocks, 5yr NL-to-SQL
Backend is offline. This demo runs on my laptop via an ngrok tunnel. It may be temporarily unavailable, check back soon or read the project writeup.
Ask a business question
Try an example
Which merchant categories have the highest confirmed fraud rate this year?
Fraud type breakdown by transaction channel with confirmation rate and average confidence score
Top 10 accounts by total value of confirmed fraud in the last 90 days
High-confidence fraud events above 0.85 showing merchant category, channel, and fraud type
For each loan grade show default rate, average FICO score, and average interest rate ranked by default risk
Which loan purpose has the highest default rate and what is the average DTI for those borrowers?
Goldman Sachs monthly closing price and total volume trend over the last 12 months
Average daily high-low spread for JPM, GS, BAC, and C over the last 6 months
Which fraud model version has the best precision rate broken down by fraud type?
Monthly flagged transaction trend this year with average amount and total flagged value
Loan portfolio cohort by grade showing total funded amount, average DTI, and charge-off rate
Data quality pass rate trend by dataset across the last 10 validation runs
Sending to Llama model on my machine...
Generated SQL
SELECT
Visualization
CHART
Results
0 rows
How it works
Natural Language
->
Local Llama (Ollama)
->
SQL Generation
->
DuckDB Warehouse
->
DQ Validated Data
->
Results
Financial Intelligence Platform, NL-to-SQL demo by Rahul Veerapur DuckDB / Llama via Ollama / FastAPI / ngrok tunnel