An assistant that answers from your documents

Upload documents — the scenario parses them, stores them in Pinecone, and answers questions strictly from them.

  • Answers grounded in your documents
  • Upload through a simple form
  • Finds the right passage itself
  • The answer can be emailed to you
n8n FormPinecone Vector StoreEmbeddings Mistral CloudDefault Data Loader
Connect Pinecone and goScriptera

How it works

To connect enkod and Pinecone, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: On form submission4
  2. Then: split the binary item
  3. Check: Loop Over Items1
  4. Then: Aggregate1
  5. Then: Translator Agent
  6. Then: Analyzer Agent
  7. Then: Markdown
  8. Then: Code
  9. Then: Convert to File
  10. Then: Gmail
  11. Then: AI Agent
  12. Then: Information Extractor
  13. Then: Convert to File4
  14. Then: Pinecone Vector Store
  15. Then: Parsing the document
  16. Then: Check the parsing status
  17. Check: If2
  18. If yes: Provide the markdown
  19. Then: Google Gemini Chat Model5
  20. Then: Google Gemini Chat Model6
  21. Then: Google Gemini Chat Model
  22. Then: Google Gemini Chat Model1
  23. Then: Embeddings Mistral Cloud
  24. Then: Default Data Loader
  25. Then: Recursive Character Text Splitter
  26. Starts when: When chat message received
  27. Then: Question and Answer Chain
  28. Then: AI Agent1
  29. Then: Google Gemini Chat Model2
  30. Then: Vector Store Retriever
  31. Then: Pinecone Vector Store1
  32. Then: Embeddings Mistral Cloud1
  33. Then: Google Gemini Chat Model3

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

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