An AI assistant in your work chat — answering from your base

An assistant in the messenger answers questions from your knowledge base — both when mentioned in a channel and when messaged directly, keeping the conversation context.

  • Answers from your materials, not generic filler
  • Works in both channels and direct messages
  • Keeps the conversation context
  • Takes the load of repetitive questions off the team
Connect Postgres PGVector Store and runScriptera

How it works

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

  1. Starts when: Slack Trigger
  2. Then: Mapping data for the Agent
  3. Then: AI Agent1
  4. Check: Either the bot should reply in dm or in public channel
  5. If yes: Reply to DM
  6. If no: Reply to public mention
  7. Then: Pinecone Vector Store
  8. Then: Embeddings OpenAI
  9. Then: Think
  10. Then: Get the history of a channel in Slack
  11. Then: OpenAI Chat Model1
  12. Then: Simple Memory1

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

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