Postgres PGVector Store and Slack automations

Ready-made scenarios where Postgres PGVector Store and Slack work for you: pick one — a copy appears in your account and runs on its own.

41 scenarios

Customer support in a messenger from your base
Answers from your own contracts and documents — in chat
Support email replies from your knowledge base
A research-backed article in your voice — from one chat message
Support & lead-capture chat assistant
A form lead: analysed in a sheet, answered by email, flagged in your chat
Business email drafts — from a message in your messenger
A support ticket digest — every morning
A bot that answers from your own documents
Automatic incident analysis grounded in past cases — posted to chat
An AI assistant in your work chat — answering from your base
Questions about a PDF right in your messenger
Polishing a draft for a search query — with your approval
A team-chat assistant that answers from your company documents
A shop assistant in chat — answers from your catalogue and takes orders
Incident diagnosis before the on-call engineer arrives, with context from your systems
A work-chat assistant that remembers your context
A мессенджер assistant that answers and books clients
Questions about a PDF right in Slack — answered from its content
Support auto-replies from a knowledge base, with hard cases handed to a human
A sales agent in chat: finds the product, answers questions, sends the payment link
A movie recommender: describe it in words, get three picks
A messenger bot that answers clients from your documents
Document analysis and recommendations — right in your team chat
A digest of your app reviews — to your messenger
A post-purchase support assistant in Slack
A weekly digest of your app reviews
Knowledge-base support auto-replies with escalation
A chatbot that answers from your documents
Phone assistant: answers calls and books your clients
A routine assistant: email, document answers and meeting booking
Inbox sorted by topic, with replies for your approval
A Slack assistant with permanent memory — automated
A support bot with an answer base and expert handoff
Messenger assistant: questions, orders and tracking
Client onboarding from documents — the record fills itself in
Answers from your document folder, right in Slack
A personal AI assistant in Slack: email, calendar, notes
A department-aware support bot that answers from your own documents
One support assistant for chat and email, with human handoff
Inbox triage by topic with a ready reply for each email