Ask your own PDFs and get answers from them

Drop PDFs into хранилище — the scenario indexes them by meaning, and answers your chat question from the documents.

  • Ask your PDFs in plain words
  • Answers from the documents' content
  • New files picked up from хранилище
  • No manual file searching
Pinecone Vector StoreEmbeddings OpenAIGoogle Drive
Connect Postgres PGVector Store and goScriptera

How it works

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

  1. Starts when: When chat message received
  2. Then: Question & Answer
  3. Then: Unstructured Extract
  4. Then: Map Data
  5. Then: Pack
  6. Then: HTTP OpenAI Embeddings
  7. Then: Re-expand
  8. Then: Prepare Data for Upsert
  9. Then: Pinecone Upsert
  10. Then: OpenAI Chat Model
  11. Then: Pinecone Vector Store
  12. Then: Embeddings OpenAI
  13. Then: Simple Memory
  14. Then: Google Drive Download
  15. Starts when: Google Drive Trigger

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

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