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Teradata Agents with Flowise AgentFlow and Teradata MCP Server

Teradata Data Science Agent Teradata Vector Store RAG Agent Teradata Visualization Agent Teradata Customer Lifetime Value (CLV) Demo Agent

This repository provides a set of Teradata Agents designed to integrate seamlessly with Flowise AgentFlow using the Teradata MCP Server. These agents enable intelligent workflows that combine Teradata’s data and vector capabilities with LLM-powered analytics — helping you build scalable, AI-driven data applications.

Before getting started, make sure both Teradata MCP Server and Flowise containers are running as described in the setup guide below.

📘 Setup Guide:

Refer to Flowise_with_Teradata_MCP for detailed installation and configuration steps.

🚀 Available Teradata Agents for Flowise

🧠 Teradata Data Science Agent

This agent template provides a complete Flowise workflow to interact with Teradata for data science–related use cases such as querying data, running analytics, and generating insights using LLMs.

Template:

Teradata_Data_Science_Workflow_Agents_V2.json

Configuration Steps:

  1. Import the JSON template into Flowise.
  2. Configure your preferred LLM model and provide its credentials.
  3. Save and deploy the workflow.

🎥 How-To Video:

Watch this step-by-step video tutorial — Teradata Data Science Agent Setup

🧩 Teradata Vector Store RAG Agent

This agent template provides a complete Flowise workflow to interact with the Teradata Vector Store. It supports similarity search and retrieval-augmented generation (RAG) on vectorized data that already resides in Teradata, enabling context-aware question-answering and semantic insights.

Template:

Teradata_VectorStore_RAG_Agent_V2.json

Configuration Steps:

  1. Import the JSON template into Flowise.
  2. Configure your preferred LLM model and provide its credentials.
  3. Save and deploy the workflow.

🎥 How-To Video:

Watch this step-by-step video tutorial — Teradata VectorStore RAG Agent Setup

💼 Customer Lifetime Value (CLV) Demo Agent

This demo agent showcases how Flowise and Teradata MCP Server can work together to calculate and visualize Customer Lifetime Value (CLV) using Teradata data. It demonstrates practical use of LLMs for analytics, insights generation, and storytelling on customer data.

Template:

Teradata_Customer_Lifetime_Value_V2

Configuration Steps:

  1. Import the JSON template into Flowise.
  2. Configure your preferred LLM model and provide its credentials.
  3. Save and deploy the workflow.

🎥 How-To Video:

Watch this step-by-step video tutorial — Customer Lifetime Value (CLV) Demo Agent

📊 Teradata Visualization Agent

This agent template demonstrates how to visualize Teradata data within a Flowise workflow. It enables users to generate various types of plots and charts (e.g., line, pie, polor, radar) directly from Teradata query results — turning data into interactive visual insights.

Template:

Teradata_visualized_Agents_V2.json

Configuration Steps:

  1. Import the JSON template into Flowise.
  2. Configure your preferred LLM model and provide its credentials.
  3. Save and deploy the workflow.