Generate OpenAI Citations for RAG File Retrieval
Workflow Description
An automation that processes chat queries with OpenAI while maintaining conversation context in memory, generating accurate citations from retrieved files to ensure proper source attribution and reference documentation.
How it works
- 1.Receive user query through chat trigger
- 2.Maintain conversation history in memory buffer
- 3.Process request with OpenAI to generate citations
- 4.Aggregate and format results for delivery
Use cases
- Create documented references from document databases
- Support knowledge-based search applications with accurate citations
Requirements
- Valid OpenAI API key configured
- Accessible file storage or document database for retrieval
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
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Sticky Note
Optional Markdown to HTML
Markdown
Finnaly format the output
Code