Who is this workflow for? This workflow leverages OpenAI’s capabilities combined with a vector store to retrieve files and generate content enriched with accurate citations. By automating citation sourcing, it ensures reliability and proper referencing in outputs, formatted seamlessly in Markdown or HTML..

What does this workflow do?

  • Initialize OpenAI Assistant:
  • Configure the OpenAI assistant within n8n, ensuring it has access to the necessary API key.
  • Access Vector Store:
  • Integrate a vector store containing relevant files for retrieval.
  • Search for Citations:
  • When a query is made, the assistant searches the vector store for pertinent information and corresponding citations.
  • Retrieve File Content:
  • Perform a file retrieval within OpenAI’s infrastructure to gather the necessary content based on the search.
  • Format Output:
  • Use an HTTP Request node to fetch details required for formatting.
  • Apply Markdown or HTML tags to structure the output, ensuring citations are dynamically referenced (e.g., [1], [2]).
  • Handle Strange Characters:
  • Implement processing steps to clean and standardize characters in the output, maintaining readability and consistency.
  • Return Formatted Content:
  • Deliver the final content with proper citations and formatting, ready for use in various applications or platforms.

🤖 Why Use This Automation Workflow?

  • Enhanced Content Accuracy: Automatically includes citations and sources, reducing the risk of inaccuracies.
  • Streamlined Formatting: Outputs are pre-formatted in Markdown or HTML, saving time on manual adjustments.
  • Improved Data Retrieval: Utilizes a vector store for efficient and relevant file retrieval, enhancing the quality of information presented.

👨‍💻 Who is This Workflow For?

This workflow is ideal for:

  • Content Creators: Writers and bloggers who need reliable citations and structured formatting.
  • Researchers: Academics requiring precise sourcing for their work.
  • Developers: Teams integrating content generation with proper referencing in applications.

🎯 Use Cases

  1. Academic Writing Assistance: Generate research papers with automatically inserted citations from a curated document library.
  2. Content Management Systems: Enhance blog posts or articles with dynamically sourced references and formatted outputs.
  3. Customer Support Documentation: Create comprehensive support articles that include sources and links for further reading.

TL;DR

This workflow automates the process of retrieving documents and embedding accurate citations using OpenAI and a vector store. By formatting the output in Markdown or HTML, it ensures that the generated content is both reliable and presentation-ready, streamlining tasks for content creators, researchers, and developers alike.

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