A smart chat over your documents with a daily summary

The scenario turns uploaded documents into a knowledge base, answers questions from it in chat and emails a daily summary of requests.

  • The chat answers from your documents
  • Upload documents via a form
  • Every dialog tracked
  • A daily summary by email
n8n FormDefault Data LoaderEmbeddings OpenAIPinecone Vector Store
Connect the knowledge store and runScriptera

How it works

To connect Postgres PGVector Store and Gmail, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: Document Upload Form
  2. Then: Workflow Configuration
  3. Then: Store Form Responses
  4. Then: Pinecone Insert Documents
  5. Then: Text Splitter
  6. Then: Document Loader
  7. Then: OpenAI Embeddings
  8. Starts when: Chat Trigger
  9. Then: RAG Chatbot Agent
  10. Then: Prepare Chat Log
  11. Then: Log Chat Interactions
  12. Then: Chat Memory
  13. Then: OpenAI Chat Model
  14. Starts when: Daily Summary Schedule
  15. Then: Get Chat Logs
  16. Then: Analyze Chat Data
  17. Then: Send Daily Summary Email
  18. Then: Pinecone Vector Store

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

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