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01_​DataViz, IQR & GenAI for Fraud Detection

Fraud Detection: using Data Visualizations and the IQR method + GenAI for multilingual alerts

This workflow shows how to detect fraud in investment agreements using data visualizations and 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.

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/knime/collections/KNIME%20for%20Generative%20AI~D4ckx2q_J5FPBQXu

Visual Detection of Frauds
Data Access and Joining

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


Outlier Detection (IQR) of Frauds
Define RAG Process
Visualize Alert Preview

Fraud Detection: using Data Visualizations and the IQR method + GenAI for multilingual alerts


This workflow shows how to detect fraud in investment agreements using data visualizations and 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.

Contract data
PDF Parser
Save vector store
Model Writer
OpenAI Authenticator
Value Lookup
Sentence Extractor
Provide OpenAIAPI key
Credentials Configuration
FAISS Vector Store Creator
Knowledge base: Definitions of agreement types
PDF Parser
Visualize & downloademail alerts
Email Preview
Detection of fraudsvia IQR
Numeric Outliers
Save outlier detectionmodel
Model Writer
Extract Contract Data
Visual detection of frauds
Data App
gpt-3.5-turbo
OpenAI LLM Connector
OpenAI Embeddings Connector
DB Table Selector
Prompt engineering
String Manipulation
LLM Prompter
Customer data
SQLite Connector
DB Reader
Vector Store Retriever

Nodes

Extensions

Links