Build an AI-powered tech radar advisor with SQL DB, RAG, and routing agents

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

AI Powered Tech Radar Advisor This project is built on top of the famous open source ThoughtWorks Tech Radar. You can use this template to build your own AI Power...

Best for

Internal Wiki automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.googledrive, @n8n/n8n-nodes-langchain.documentdefaultdataloader, n8n-nodes-base.stickynote, n8n-nodes-base.cron, n8n-nodes-base.mysql, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.googledocs

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Sean Lon.

Original n8n.io source

1.1 Workflow description

Title: Build an AI-powered tech radar advisor with SQL DB, RAG, and routing agents
Workflow name: Build an AI-powered tech radar advisor with SQL DB, RAG, and routing agents

AI-Powered Tech Radar Advisor

This project is built on top of the famous open source ThoughtWorks Tech Radar.

You can use this template to build your own AI-Powered Tech Radar Advisor for your company or group of companies.

Target Audience

This template is perfect for:

Tech Audit & Governance Leaders: Those seeking to build a tech landscape AI platform portal.
Tech Leaders & Architects: Those aiming to provide modern AI platforms that help others understand the rationale behind strategic technology adoption.
Product Managers: Professionals looking to align product innovation with the company's current tech trends.
IT & Engineering Teams: Teams that need to aggregate, analyze, and visualize technology data from multiple sources efficiently.
Digital Transformation Experts: Innovators aiming to leverage AI for actionable insights and strategic recommendations.
Data Analysts & Scientists: Individuals who want to combine structured SQL analysis with advanced semantic search using vector databases.
Developers: Those interested in integrating RAG chatbot functionality with conversation storage.

1. Description

Tech Constellation is an AI-powered Tech Radar solution designed to help organizations visualize and steer their technology adoption strategy.
It seamlessly ingests data from a Tech Radar Google Sheet—converting it into both a MySQL database and a vector index—to consolidate your tech landscape in one place.

The platform integrates an interactive AI chat interface powered by four specialized agents:

AI Agent Router: Analyzes and routes user queries to the most suitable processing agent.
SQL Agent: Executes precise SQL queries on structured data.
RAG Agent: Leverages semantic, vector-based search for in-depth insights.
Output Guardrail Agent: Validates responses to ensure they remain on-topic and accurate.

This powerful template is perfect for technology leaders, product managers, engineering teams, and digital transformation experts looking to make data-driven decisions aligned with strategic initiatives across groups of parent-child companies.

2. Features

Data Ingestion

A Google Sheet containing tech radar data is used as the primary source.
- The data is ingested and converted into a MySQL database.
- Simultaneously, the data is indexed into a vector database for semantic (vector-based) search.

Interactive AI Chat

Chat Integration: An AI-powered chat interface allows users to ask questions about the tech radar.
Customizable AI Agents:
1. AI Agent Router: Determines the query type and routes it to the appropriate agent.
2. SQL Agent: Processes queries using SQL on structured data.
3. RAG Agent: Performs vector-based searches on document-like data.
4. Output Guardrail Agent: Validates queries and ensures that the responses remain on-topic and accurate.

Usage Examples

Tell me, is TechnologyABC adopted or on hold, and why?
List all the tools that are considered part of the strategic direction for company3 but are not adopted.

Project Links & Additional Details

GitHub Repository (Frontend Interface Source Code): github.com/dragonjump/techconstellation
Try It: https://scaler.my

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Download Doc File From Google Drive

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 2 - Doc File Data Loader

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1

Block 3 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Cron

Type / Role: n8n-nodes-base.cron - cron
Config choices: Version 1

Block 5 - MySQL -delete all data

Type / Role: n8n-nodes-base.mySql - mySql
Config choices: Version 2.4

Block 6 - MySQL - insert all from sheets

Type / Role: n8n-nodes-base.mySql - mySql
Config choices: Version 1

Block 7 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Google Sheets - Tech Radar

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.5

Block 9 - Code - Transform table into rows

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 10 - Google Docs - Update GDoc

Type / Role: n8n-nodes-base.googleDocs - googleDocs
Config choices: Version 2

Block 11 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Google Drive - Doc File Updated

Type / Role: n8n-nodes-base.googleDriveTrigger - googleDriveTrigger
Config choices: Version 1

Block 13 - Content - Recursive Character Text Splitter

Type / Role: @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - textSplitterRecursiveCharacterTextSplitter
Config choices: Version 1

Block 14 - Google Sheets - Read TechRadar

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 3

Block 15 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Sticky Note11

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Code - Simplify Mapping to Original Query

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 19 - Codes - Simplify Mapping to Original Query

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 20 - Execute Workflow - Sql Agent

Type / Role: n8n-nodes-base.executeWorkflow - executeWorkflow
Config choices: Version 1.2

Block 21 - Execute Workflow - RAG Agent

Type / Role: n8n-nodes-base.executeWorkflow - executeWorkflow
Config choices: Version 1.2

Block 22 - AI Agent - Output Guardrail

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 23 - LLM - Determine - Agent Input Router

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.5

Block 24 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Showing the first 24 of 53 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Build an AI-powered tech radar advisor with SQL DB, RAG, and routing agents
Complexity	advanced
Nodes	53
Categories	Internal Wiki, AI RAG
Author	Sean Lon
Published	13 Mar 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/3151/3151.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Internal Wiki workflows AI RAG workflows

Frequently asked questions

What does Build an AI-powered tech radar advisor with SQL DB, RAG, and routing agents do?

AI Powered Tech Radar Advisor This project is built on top of the famous open source ThoughtWorks Tech Radar. You can use this template to build your own AI Power...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Internal Wiki, AI RAG use case.

Sean Lon

5 workflows

Nodes

n8n-nodes-base.googledrive @n8n/n8n-nodes-langchain.documentdefaultdataloader n8n-nodes-base.stickynote n8n-nodes-base.cron n8n-nodes-base.mysql n8n-nodes-base.googlesheets n8n-nodes-base.code n8n-nodes-base.googledocs

Complexity

advanced

Published 13 Mar 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/3151/3151.json

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Build an AI-powered tech radar advisor with SQL DB, RAG, and routing agents

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

AI-Powered Tech Radar Advisor

Target Audience

1. Description

2. Features

Data Ingestion

Interactive AI Chat

Usage Examples

Project Links & Additional Details

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Download Doc File From Google Drive

Block 2 - Doc File Data Loader

Block 3 - Sticky Note

Block 4 - Cron

Block 5 - MySQL -delete all data

Block 6 - MySQL - insert all from sheets

Block 7 - Sticky Note1

Block 8 - Google Sheets - Tech Radar

Block 9 - Code - Transform table into rows

Block 10 - Google Docs - Update GDoc

Block 11 - Sticky Note2

Block 12 - Google Drive - Doc File Updated

Block 13 - Content - Recursive Character Text Splitter

Block 14 - Google Sheets - Read TechRadar

Block 15 - Sticky Note3

Block 16 - Sticky Note4

Block 17 - Sticky Note11

Block 18 - Code - Simplify Mapping to Original Query

Block 19 - Codes - Simplify Mapping to Original Query

Block 20 - Execute Workflow - Sql Agent

Block 21 - Execute Workflow - RAG Agent

Block 22 - AI Agent - Output Guardrail

Block 23 - LLM - Determine - Agent Input Router

Block 24 - Sticky Note6

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions