AI personal assistant with RAG and voice for WhatsApp using Supabase
Transform your WhatsApp into a high-powered command center using this advanced AI assistant that handles voice, text, and documents with ease. By leveraging GPT-4o and RAG through Supabase, it provides context-aware responses while managing your calendar and emails seamlessly. This multi-modal automation is the ultimate tool for anyone seeking a sophisticated digital companion.
Run this with your team's AIWhat This Recipe Does
This automation transforms WhatsApp into a powerful, AI-driven command center for your business operations. By integrating GPT-4o with advanced memory systems and file processing capabilities, you create a personal assistant that lives where you already communicate. Unlike basic chatbots, this solution maintains long-term context through database storage, allowing it to remember specific client details, past preferences, and ongoing projects. It streamlines complex workflows by extracting data from uploaded documents, managing your calendar, and executing multi-step tasks without manual intervention. For business leaders and teams, this means a significant reduction in administrative overhead. You can delegate routine inquiries, document analysis, and scheduling logistics to an intelligent agent that operates 24/7. The inclusion of persistent memory ensures that every interaction is personalized and informed by previous history, providing a seamless experience for both internal teams and external clients. This automation bridges the gap between high-level AI reasoning and practical, everyday business execution, turning your mobile device into a sophisticated tool for productivity and growth.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Predis.ai, Neon Postgres, Supabase, Http connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Predis.ai and Neon Postgres once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Executive assistants use this to manage scheduling and set reminders through simple text messages while on the move.
- Operations managers use the document extraction feature to process invoices and receipts sent directly via WhatsApp.
- Sales teams use the persistent memory feature to maintain context-aware conversations with leads without manual CRM logging.
Frequently Asked Questions
How does the assistant remember past conversations?
The workflow utilizes Redis and Postgres databases to store interaction history, allowing the AI to reference previous messages and maintain context over long periods.
Can this assistant handle documents and images?
Yes, the integration includes file extraction tools that allow the AI to read, analyze, and summarize documents or data sent through the chat interface.
Is it possible to customize the AI's behavior for specific business needs?
You can fully customize the system instructions and logic paths to ensure the assistant follows your specific brand voice and operational protocols.
What is required to connect this to WhatsApp?
This automation connects via a standard Webhook, typically requiring a WhatsApp Business API account or a compatible third-party provider.
Coming from n8n?
This recipe uses nodes like Langchain.lmChatOpenAi, ConvertToFile, Set, If and 21 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork