A research-backed article in your voice — from one chat message

You post a topic in Telegram. The scenario researches it with perplexity, draws your voice from your writing in Postgres PGVector Store, and drops the finished article into ERPNext.

  • Facts that are current, not remembered
  • Your voice, not a generic one
  • A finished document, not a pile of bullet points
  • You commission it straight from your work chat
Pinecone Vector StoreEmbeddings OpenAI
Connect Postgres PGVector Store and goScriptera

How it works

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

  1. Starts when: Slack Trigger
  2. Then: Blogpost AI Agent
  3. Then: Create a document
  4. Then: Update a document
  5. Then: Anthropic Chat Model
  6. Then: Pinecone Vector Store
  7. Then: Embeddings OpenAI
  8. Then: Simple Memory
  9. Then: Message a model in Perplexity

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

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