A support bot in Slack that answers from your docs and learns

The scenario turns your documents into a knowledge base, answers questions in Slack, and improves with every rating.

  • Answers from your own documents
  • Learns from good / bad ratings
  • Works right inside Slack
  • Load docs once — it runs itself
Embeddings OpenAIDefault Data LoaderGoogle DocsMongoDB Chat MemoryMongoDB Atlas Vector Store
Connect mongodbatlas and goScriptera

How it works

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

  1. Starts when: When clicking "Execute Workflow"
  2. Then: Google Docs Importer
  3. Then: MongoDB Documentation Inserter
  4. Then: Knowledge Base Agent
  5. Then: Send Message on Telegram, Wait for Feedback
  6. Then: Map feedback data
  7. Then: Set feedback fields for collection storage
  8. Then: Submit embedded chat feedback
  9. Then: OpenAI Chat Model
  10. Then: Embeddings OpenAI
  11. Then: Document Section Loader
  12. Then: Document Chunker
  13. Then: OpenAI Embeddings Generator
  14. Then: MongoDB Chat Memory
  15. Then: Embeddings OpenAI1
  16. Then: Default Data Loader
  17. Then: Recursive Character Text Splitter
  18. Then: Embeddings OpenAI3
  19. Then: Search Positive Interactions
  20. Then: Search Documentation
  21. Then: Search Negative Interactions
  22. Starts when: Receive Message on Telegram
  23. Then: OpenAI Embeddings Generator1

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

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