Upsert huge documents in a vector store with Supabase and Notion
Transform your Notion workspace into a dynamic knowledge base by automatically syncing page updates to a Supabase vector store for real-time RAG applications. This workflow intelligently manages document chunking and metadata to ensure your AI assistant always references the most current information. Turn static documentation into an interactive expert that you can query through an integrated chat interface.
Run this with your team's AIWhat This Recipe Does
Most AI assistants struggle because their knowledge is frozen in time. This automation solves that by connecting your AI directly to your company's living data stored in Notion. By automatically syncing, summarizing, and indexing your internal documents into a high-performance vector database, you ensure that every response provided by the AI is grounded in your most recent business information. This system eliminates the need for manual data entry or constant retraining of models. Instead, it creates a self-sustaining knowledge loop where any change made in your workspace is immediately accessible to the assistant. This is particularly valuable for teams managing fast-moving projects, evolving product documentation, or complex internal policies. By automating the retrieval-augmented generation (RAG) process, your team gains a reliable internal expert that reduces search time and prevents the spread of outdated information. The result is a smarter, more responsive organization that leverages its collective intelligence without the administrative overhead and technical complexity usually required for custom AI builds.
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
DaySchedule, Supabase, Notion, Universal Summarizer by Kagi connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect DaySchedule and Supabase 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
- Support teams use this to provide instant, accurate answers to complex customer inquiries by pulling from the latest technical documentation.
- Project managers use this to query the current status and historical context of ongoing initiatives without manually searching through dozens of pages.
- HR departments use this to create an internal bot that answers employee questions about benefits and policies based on the most recent handbook updates.
Frequently Asked Questions
How often does the AI update its knowledge?
You can schedule the automation to run at specific intervals or trigger it every time a page is updated in your source application to ensure data freshness.
Do I need to be a developer to manage the data?
No. You simply manage your information in Notion as you normally would, and the automation handles the technical indexing and vector storage in the background.
Can I limit what information the AI has access to?
Yes. You can configure the automation to only sync specific databases or pages, ensuring the AI only processes information intended for its knowledge base.
What happens if my source documents are very long?
The workflow includes a summarization and batching process that condenses long documents into searchable segments, making the AI more efficient and accurate.
Coming from n8n?
This recipe uses nodes like Langchain.embeddingsOpenAi, Langchain.textSplitterTokenSplitter, SplitInBatches, Langchain.chainRetrievalQa and 13 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