Generate citations for OpenAI responses using RAG file retrieval
Workflow Description
This automation receives user queries through a chat interface, retrieves relevant documents from stored memory, sends them to OpenAI along with the question, and returns answers with accurate citations pointing to original sources.
How it works
- 1.Receive question through chat interface
- 2.Retrieve related files from stored memory
- 3.Send context and question to OpenAI
- 4.Process response and attach citations
- 5.Return result to user
Use cases
- Answer questions about company documents while citing exact sources
- Build an AI assistant that traces every fact to its original reference
Requirements
- Valid OpenAI API key
- Collection of documents or files stored in memory system
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (19)
Aggregate
Aggregate
Window Buffer Memory
Memory Buffer Window
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Create a simple Trigger to have the Chat button within N8N
Chat Trigger
OpenAI Assistant with Vector Store
OpenAI
Sticky Note1
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Get ALL Thread Content
HTTP Request
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Sticky Note
Split all message iterations from a thread
Split Out
Split all content from a single message
Split Out
Split all citations from a single message
Split Out
Retrieve file name from a file ID
HTTP Request
Regularize output
Set
Sticky Note3
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Sticky Note
Optional Markdown to HTML
Markdown
Finnaly format the output
Code