Questions about a PDF right in Slack — answered from its content

Upload a document to the bot in Slack and ask questions — the scenario answers from the content of that PDF, not with generic phrases.

  • Answers from the content of your PDF
  • Upload the document once — then just ask
  • No scrolling pages by hand
  • Works right in the messenger
Default Data LoaderPinecone Vector StoreEmbeddings Google Gemini
Connect Postgres PGVector Store and goScriptera

How it works

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

  1. Starts when: Telegram Message Trigger
  2. Check: Check If is a document
  3. If yes: Telegram get File
  4. Then: Change to application/pdf
  5. Then: Pinecone Vector Store
  6. Then: Limit to 1
  7. Then: Telegram Response about Database
  8. Then: Stop and Error1
  9. If no: Question and Answer Chain
  10. Then: Telegram Response
  11. Then: Stop and Error
  12. Then: Default Data Loader
  13. Then: Recursive Character Text Splitter
  14. Then: Vector Store Retriever
  15. Then: Pinecone Vector Store1
  16. Then: Embeddings Google Gemini
  17. Then: Embeddings Google Gemini1
  18. Then: Google Gemini Chat Model

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

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