Email replies grounded in your documents — prepared and checked for you

The scenario reads an incoming email, works out the topic and prepares a reply grounded in your documents. A second AI checks the draft, and it's sent only after you approve.

  • The reply draws on your documents — specific, not vague
  • A second AI checks the draft before you do
  • Nothing goes out without your approval
  • Removes the file search behind every email
Email Trigger (IMAP)Qdrant Vector StoreEmbeddings OpenAIDefault Data Loader
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How it works

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

  1. Starts when: When clicking ‘Test workflow’
  2. Then: Create collection
  3. Then: Refresh collection
  4. Then: Get folder
  5. Then: Download Files
  6. Then: Qdrant Vector Store1
  7. Then: Email Trigger (IMAP)
  8. Then: Markdown
  9. Then: Email Summarization Chain
  10. Then: Write email
  11. Then: Edit Fields
  12. Then: Gmail
  13. Then: Text Classifier
  14. Then: Send Email
  15. Then: Email Reviewer
  16. Then: Qdrant Vector Store
  17. Then: Embeddings OpenAI
  18. Then: OpenAI
  19. Then: Default Data Loader
  20. Then: Token Splitter
  21. Then: Embeddings OpenAI1
  22. Then: DeepSeek Chat Model

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

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