A chat assistant over your documentation

The scenario turns your documents into a chat assistant that answers your team's and customers' questions from your knowledge base, finding what's relevant by meaning.

  • Answers from your Google Docs right in chat
  • Search by meaning, not keywords
  • Update the docs — answers stay current
  • Fewer repetitive questions for your team
Embeddings OpenAIMongoDB Atlas Vector StoreDefault Data LoaderGoogle DocsChat
Connect Mongodbatlas and launchScriptera

How it works

To connect Embeddings OpenAI and MongoDB Atlas Vector Store, 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 Vector Store Inserter
  4. Then: Knowledge Base Agent
  5. Then: OpenAI Chat Model
  6. Then: Embeddings OpenAI
  7. Then: Simple Memory
  8. Then: MongoDB Vector Search
  9. Then: Document Section Loader
  10. Then: Document Chunker
  11. Then: OpenAI Embeddings Generator
  12. Starts when: When chat message received

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

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