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.