Research paper drafts from fresh literature

On a schedule the scenario gathers papers, patents and data on your topic, drafts a cited manuscript and checks it, saving everything in a table.

  • Fresh literature on your topic gathered automatically
  • A cited draft prepared by AI
  • References and text checked for plagiarism
  • Deadlines and review notes kept in a table
Embeddings OpenAIDefault Data Loader
Connect inmemory and runScriptera

How it works

Automating Microsoft SharePoint and Embeddings OpenAI takes no code: a ready-made scenario does the routine for you.

  1. Starts when: Schedule Research Monitoring
  2. Then: Workflow Configuration
  3. Then: Fetch Academic Papers
  4. Check: Combine All Sources
  5. Then: Rate Limit Delay
  6. Then: Knowledge Base Vector Store
  7. Then: Research Analysis Agent
  8. Then: Save to Research Database
  9. Then: Manuscript Drafting Agent
  10. Then: Validate References API
  11. Then: Plagiarism Check API
  12. Check: Check Validation Results
  13. If yes: Format Adaptation Agent
  14. Then: Track Submission Deadlines
  15. Then: Log Reviewer Feedback
  16. Then: Learning Optimization Agent
  17. Then: Store Learning Insights
  18. Then: Fetch Patents
  19. Then: Fetch Datasets
  20. Then: Fetch Technical Blogs
  21. Then: OpenAI GPT-4 Model
  22. Then: Analysis Output Parser
  23. Then: Research Context Memory
  24. Then: OpenAI Embeddings
  25. Then: Document Loader
  26. Then: Text Splitter
  27. Then: OpenAI GPT-4 Drafting Model
  28. Then: Manuscript Output Parser
  29. Then: Citation Reference Store
  30. Then: Citation Embeddings
  31. Then: OpenAI Format Model
  32. Then: Format Output Parser
  33. Then: OpenAI Learning Model
  34. Then: Learning Output Parser

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

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