A chat assistant that answers from your documents

Upload files into a knowledge base via a form, and the scenario answers chat questions straight from them, without inventing.

  • Answers from your files, not made up
  • Handles PDFs, spreadsheets, and exports
  • Search by meaning, not by keyword
  • Ask and get the answer right in the chat
n8n FormPostgres PGVector StoreEmbeddings OllamaDefault Data Loader
Connect Pinecone Vector Store and runScriptera

How it works

To pass leads from Pinecone Vector Store to Slack automatically, use a ready-made scenario — no manual copying, no lost leads.

  1. Starts when: On form submission
  2. Check: If
  3. If yes: Form1
  4. Check: Switch
  5. If yes: Extract from File
  6. Then: Postgres PGVector Store
  7. If no: Extract from File1
  8. If no: Extract from File2
  9. If no: Extract from File5
  10. If no: Extract from File4
  11. If no: Form
  12. Then: Embeddings Ollama
  13. Then: Default Data Loader
  14. Then: Question and Answer Chain
  15. Then: Send a text message
  16. Then: Ollama Chat Model
  17. Then: Vector Store Retriever
  18. Then: Postgres PGVector Store1
  19. Then: Embeddings Ollama1
  20. Starts when: Telegram Trigger

You can launch this Pinecone Vector Store + Slack integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

Similar scenarios