Automation library · AI assistants

Detect multi-modal plagiarism with OpenAI and Whisper

Started by another system calling it, and works across in-memory vectors. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 25 steps: large, and worth reading before you trust it with anything live.

LargeCalls a model: OpenAIRetrieval

Download free
25 stepsLarge: read it before trusting it with anything live
0Branches: places the flow splits
0Loops or waits
1Service it connects to

The flow

Starts it 1Model 18Logic 5Service 1

The steps in the order they run, from what starts it.

  1. 1OpenAI EmbeddingsEmbeddings Open AiModel
  2. 2Document LoaderDocument Default Data LoaderModel
  3. 3OpenAI GPT ModelLm Chat Open AiModel
  4. 4Text Similarity Output ParserOutput Parser StructuredModel
  5. 5Code Analysis Output ParserOutput Parser StructuredModel
  6. 6Multi-Modal Output ParserOutput Parser StructuredModel
  7. 7Audio Analysis Output ParserOutput Parser StructuredModel
  8. 8Reasoning Output ParserOutput Parser StructuredModel
  9. 9WebhookWebhookStarts it
  10. 10Store in Submission RepositoryVector Store In MemoryModel
  11. 11Retrieval Vector StoreVector Store In MemoryModel
  12. 12Text Similarity AgentAgentModel
  13. 13Code Analysis AgentAgentModel
  14. 14Multi-Modal AgentAgentModel
  15. 15Audio Analysis AgentAgentModel
  16. 16Reasoning & Aggregation AgentAgentModel
  17. 17Extract PDF/DOCX TextExtract From FileService
  18. 18Transcribe Audio (Whisper)Open AiModel
  19. 19OCR & Image AnalysisOpen AiModel
  20. 20Vector Store Retriever ToolRetriever Vector StoreModel
  21. 21Merge Agent OutputsMergeLogic
  22. 22Format Final ReportSetLogic
  23. 23Combine All Extracted DataMergeLogic
  24. 24Aggregate Agent ResultsAggregateLogic
  25. 25Normalize Submission DataSetLogic

How it's built

Starts on
Another system calling it
Steps
25
Size
Large: read it before trusting it with anything live
Connects to
in-memory vectors
Model
OpenAI
Retrieval
Answers are drawn from documents you supply, not from the model alone

Questions

What does it need to run?

An n8n account, plus your own in-memory vectors account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 25 steps it is large: read it before trusting it with anything live.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 25 steps before you point it at anything that matters.