Automation library · AI assistants

Building RAG chatbot for movie recommendations with Qdrant

Started by someone opening a chat with it, and works across GitHub and Qdrant. 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

25 stepsLarge: read it before trusting it with anything live
0Branches: places the flow splits
0Loops or waits
2Services it connects to

The flow

Starts it 3Model 8Logic 8Service 6

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

  1. 1When clicking ‘Test workflow’Manual triggerStarts it
  2. 2Embeddings OpenAIEmbeddings Open AiModel
  3. 3Token SplitterText Splitter Token SplitterModel
  4. 4When chat message receivedChat triggerStarts it
  5. 5OpenAI Chat ModelLm Chat Open AiModel
  6. 6Call n8n Workflow ToolTool WorkflowModel
  7. 7Window Buffer MemoryMemory Buffer WindowModel
  8. 8Execute Workflow TriggerExecute Workflow triggerStarts it
  9. 9GitHubGithubService
  10. 10Qdrant Vector StoreVector Store QdrantModel
  11. 11Default Data LoaderDocument Default Data LoaderModel
  12. 12AI AgentAgentModel
  13. 13Embedding Recommendation Request with Open AIHttp RequestService
  14. 14Embedding Anti-Recommendation Request with Open AIHttp RequestService
  15. 15Extract from FileExtract From FileService
  16. 16Extracting EmbeddingSetLogic
  17. 17Extracting Embedding1SetLogic
  18. 18MergeMergeLogic
  19. 19Calling Qdrant Recommendation APIHttp RequestService
  20. 20Retrieving Recommended Movies Meta DataHttp RequestService
  21. 21Split Out1Split OutLogic
  22. 22Split OutSplit OutLogic
  23. 23Merge1MergeLogic
  24. 24Selecting Fields Relevant for AgentSetLogic
  25. 25AggregateAggregateLogic

How it's built

Starts on
Someone opening a chat with it
Steps
25
Size
Large: read it before trusting it with anything live
Connects to
GitHub, Qdrant
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 GitHub and Qdrant accounts, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone opening a chat with 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.