Ask your PDF: question in, answer out

Load a document from your storage and ask questions in chat. AI finds the right spot in the text and answers on point — no need to read the whole file.

  • An answer from your document in seconds
  • AI answers from the text, not from guesses
  • Upload once — ask as much as you like
  • Handles long PDFs and contracts
Pinecone Vector StoreDefault Data LoaderEmbeddings OpenAI
Connect Postgres PGVector Store and run itScriptera

How it works

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

  1. Starts when: When clicking 'Test Workflow' button
  2. Then: Set Google Drive file URL
  3. Then: Google Drive
  4. Then: Pinecone Vector Store
  5. Starts when: When chat message received
  6. Then: Question & Answer
  7. Then: Default Data Loader
  8. Then: Recursive Character Text Splitter
  9. Then: Embeddings OpenAI1
  10. Then: Embeddings OpenAI
  11. Then: Pinecone Vector Store1
  12. Then: OpenAI Chat Model

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

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