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02_​Deployment DataViz, IQR & GenAI for Fraud Detection

Fraud Detection Deployment: using the IQR method + GenAI for multilingual alerts

This workflow deploys a fraud detector for investment agreements using the IQR techniques for outlier detection. Once fraudulent agreements are identified, the workflow creates custom, multilingual alerts with the help of GenAI and a RAG process. The alert previews can be deployed as a Data App on the KNIME Business Hub.

URL: KNIME AI Extension (Labs) https://hub.knime.com/knime/extensions/org.knime.python.features.llm/latest/
URL: KNIME for Generative AI https://hub.knime.com/-/collections/~D4ckx2q_J5FPBQXu/

Data Access and Joining

Enriching Analytics with GenAI: Providing Context and Prompting LLM for Email Alerts


Alert Preview Data App

Fraud Detection Deployment: using the IQR method + GenAI for multilingual alerts


This workflow deploys a fraud detector for investment agreements using the IQR techniques for outlier detection. Once fraudulent agreements are identified, the workflow creates custom, multilingual alerts with the help of GenAI and a RAG process. The alert previews can be deployed as a Data App on the KNIME Business Hub.

Outlier Detection (IQR) of Frauds
vector store
Model Reader
prompt engineering
String Manipulation
outlier detection model
Model Reader
Numeric Outliers (Apply)
Value Lookup
OpenAI Authenticator
DB Table Selector
LLM Prompter
Provide OpenAIAPI key
Credentials Configuration
Extract Contract Data
visualize & downloademail alerts
Email Preview
Customer data
SQLite Connector
OpenAI LLM Connector
Contract data
PDF Parser
DB Reader
Vector Store Retriever

Nodes

Extensions

Links