Ingest and enrich Q&A pairs then store in Data Table [1/2]

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1. Workflow Overview

This workflow serves an n8n Form to end user to capture a Question and Answer pair (to be used by an Q&A AI Agent in a separate workflow). The workflow: Appends a field depending on email domain Ad...

Best for

Document Extraction automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, n8n-nodes-base.if, n8n-nodes-base.set, n8n-nodes-base.noop, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.datatable, n8n-nodes-base.stickynote

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Ingest and enrich Q&A pairs then store in Data Table [1/2]
Workflow name: Ingest and enrich Q&A pairs then store in Data Table [1/2]

This workflow serves an n8n Form to end user to capture a Question and Answer pair (to be used by an Q&A AI Agent in a separate workflow).

The workflow:

Appends a isTrusted field depending on email domain
Adds AI-generated tags relevant to the Question and Answer pair
Stores the Q&A pair in an n8n Data Table

This template is part of the official n8n quick start tutorial (2026). Watch it here.

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 - On form submission

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.5

Block 2 - is n8n.io email?

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 3 - isTrusted:true

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 4 - isTrusted:false

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 5 - ref

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

Block 6 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 7 - Add tags

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.9

Block 8 - Insert row

Type / Role: n8n-nodes-base.dataTable - dataTable
Config choices: Version 1.1

Block 9 - Sticky Note

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

3. Summary Table

Workflow	Ingest and enrich Q&A pairs then store in Data Table [1/2]
Complexity	intermediate
Nodes	9
Categories	Document Extraction, AI Summarization
Author	Max Tkacz
Published	12 Feb 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/13353/13353.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 Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does Ingest and enrich Q&A pairs then store in Data Table [1/2] do?

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 Document Extraction, AI Summarization use case.

Max Tkacz

8 workflows

Nodes

n8n-nodes-base.formtrigger n8n-nodes-base.if n8n-nodes-base.set n8n-nodes-base.noop @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.chainllm n8n-nodes-base.datatable n8n-nodes-base.stickynote

Complexity

intermediate

Published 12 Feb 2026

Likes 0

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Install path: /data/workflows/13353/13353.json

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Ingest and enrich Q&A pairs then store in Data Table [1/2]

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - On form submission

Block 2 - is n8n.io email?

Block 3 - isTrusted:true

Block 4 - isTrusted:false

Block 5 - ref

Block 6 - OpenAI Chat Model

Block 7 - Add tags

Block 8 - Insert row

Block 9 - Sticky Note

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