AI-Powered Document Chat with Nextcloud Files using LangChain and OpenAI
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johappel
Description
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.
This workflow was created by johappel and shared publicly on the n8n community template library. n8nFind indexes it for discovery — the workflow remains the property of its original creator.