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AI-Powered Document Chat with Nextcloud Files using LangChain and OpenAI

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Created by: johappel || johappel

johappel

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Last update a month ago

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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”

  1. Invocation: Triggered by other workflows with the input parameter path (folder path).

  2. File listing: Retrieves every file in the specified folder via the Nextcloud API.

  3. Filter: Allows only readable formats (PDF, Markdown, DOCX).

  4. Download & text extraction

    • PDF → Text via Extract From File
    • Markdown → Raw text
    • DOCX → Text via community node word2text

  5. 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.