AutomationFlowsAI & RAG › Supabase Chat: Embed Documents & Retrieve Answers

Supabase Chat: Embed Documents & Retrieve Answers

Original n8n title: Supabase Insertion & Upsertion & Retrieval (google Drive)

ByRia @riascho on n8n.io

This is a demo workflow to showcase how to use Supabase to embed a document, retrieve information from the vector store via chat and update the database. set your credentials for Supabase set your credentials for an AI model of your choice set credentials for any service you…

Chat trigger trigger★★★★☆ complexityAI-powered21 nodesGoogle DriveDocument Default Data LoaderChain Retrieval QaOpenAI ChatRetriever Vector StoreText Splitter Recursive Character Text SplitterChat TriggerSupabase Vector Store
AI & RAG Trigger: Chat trigger Nodes: 21 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow corresponds to n8n.io template #2395 — we link there as the canonical source.

This workflow follows the Chainretrievalqa → Retrievervectorstore recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

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About this workflow

This is a demo workflow to showcase how to use Supabase to embed a document, retrieve information from the vector store via chat and update the database. set your credentials for Supabase set your credentials for an AI model of your choice set credentials for any service you…

Source: https://n8n.io/workflows/2395/ — original creator credit. Request a take-down →

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