AI-powered document chat with Nextcloud files using LangChain and OpenAI

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Important notice

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

1. Workflow Overview

Main Workflow “AI Nextcloud” Entry point : A public chat trigger greets the user; every incoming chat message starts the flow. AI agent : A LangChain agent (“AI Nextcloud”) uses the configured Open...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.executeworkflowtrigger, n8n-nodes-base.switch, n8n-nodes-base.aggregate, n8n-nodes-base.set

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: AI-powered document chat with Nextcloud files using LangChain and OpenAI
Workflow name: AI-powered document chat with Nextcloud files using LangChain and OpenAI

Main Workflow “AI Nextcloud”

Entry point: A public chat-trigger greets the user; every incoming chat message starts the flow.
AI agent: A LangChain agent (“AI Nextcloud”) uses the configured OpenAI model plus short-term memory to continue the dialogue in context.
Purpose: Answers questions about files stored in a Nextcloud folder. The user simply includes the folder path in their question.
Tool integration: Calls the sub-workflow “Nextcloud Tool” whenever it needs to read files and pass their text back to the AI.

Sub-Workflow “Nextcloud Tool”

Invocation: Triggered by other workflows with the input parameter path (folder path).
File listing: Retrieves every file in the specified folder via the Nextcloud API.
Filter: Allows only readable formats (PDF, Markdown, DOCX).
Download & text extraction
- PDF → Text via Extract From File
- Markdown → Raw text
- DOCX → Text via community node word2text
Aggregation: Combines all extracted text into a single output field and returns it.

> Outcome: Each call yields the plain content of every supported file in a Nextcloud folder—providing rich context for the AI agent to answer user questions accurately.

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 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

Block 2 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 3 - Simple Memory

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

Block 4 - AI Nextcloud

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

Block 5 - When Executed by Another Workflow

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

Block 6 - Switch

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 7 - Aggregate

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

Block 8 - output

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

Block 9 - Sticky Note

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

Block 10 - If readable

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 11 - Get Files

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

Block 12 - Download File

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

Block 13 - add path 1

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

Block 14 - add path 2

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

Block 15 - add path 3

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

Block 16 - test data

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

Block 17 - Nextcloud Tool

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 2.2

Block 18 - Sticky Note1

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

Block 19 - PDF

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

Block 20 - Markdown

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

Block 21 - DOCX

Type / Role: n8n-nodes-word2text.word2text - word2text
Config choices: Version 1

3. Summary Table

Workflow	AI-powered document chat with Nextcloud files using LangChain and OpenAI
Complexity	advanced
Nodes	21
Categories	Internal Wiki, AI RAG
Author	johappel
Published	28 May 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/4465/4465.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 AI-powered document chat with Nextcloud files using LangChain and OpenAI 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 Internal Wiki, AI RAG use case.

johappel

1 workflow

Nodes

@n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.agent n8n-nodes-base.executeworkflowtrigger n8n-nodes-base.switch n8n-nodes-base.aggregate n8n-nodes-base.set

Complexity

advanced

Published 28 May 2025

Likes 0

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Install path: /data/workflows/4465/4465.json

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AI-powered document chat with Nextcloud files using LangChain and OpenAI

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Main Workflow “AI Nextcloud”

Sub-Workflow “Nextcloud Tool”

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When chat message received

Block 2 - OpenAI Chat Model

Block 3 - Simple Memory

Block 4 - AI Nextcloud

Block 5 - When Executed by Another Workflow

Block 6 - Switch

Block 7 - Aggregate

Block 8 - output

Block 9 - Sticky Note

Block 10 - If readable

Block 11 - Get Files

Block 12 - Download File

Block 13 - add path 1

Block 14 - add path 2

Block 15 - add path 3

Block 16 - test data

Block 17 - Nextcloud Tool

Block 18 - Sticky Note1

Block 19 - PDF

Block 20 - Markdown

Block 21 - DOCX

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