AI Agents

Query Live Data with AI-Powered Retrieval and Generation

34 nodes 301 145 Automatic trigger
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Workflow Description

Automation that continuously ingests live data from Supabase and Notion, chunks content intelligently, generates semantic embeddings via OpenAI, stores them in a vector database, and answers user queries with accurate, contextual responses using an LLM.

How it works

  1. 1.Automatically fetch and load live data from Supabase and Notion sources
  2. 2.Split documents into optimized chunks for semantic processing
  3. 3.Generate and store vector embeddings using OpenAI in a Vector Store
  4. 4.Process incoming queries and retrieve the most relevant data chunks
  5. 5.Generate contextual answers using retrieval-augmented generation chains

Use cases

  • Answer employee questions against a continuously updated company knowledge base
  • Build intelligent search that understands meaning rather than keyword matching
  • Generate summaries and insights from live Notion documentation and database records

Requirements

  • OpenAI API key for embeddings and chat completions
  • Active connections to Supabase and Notion with read permissions
  • Vector database backend (Supabase Vector Store) for storing embeddings

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

OpenAI Text Splitter Split In Batches LLM Chain Vector Store Chat Trigger Supabase Notion Document Default Data Loader

Details

Trigger Automatic trigger
Nodes 34
Apps 9
Views 301
Downloads 145

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (34)

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Embeddings OpenAI

OpenAI

#1

Token Splitter

Text Splitter Token Splitter

#2

Loop Over Items

Split In Batches

#3

Question and Answer Chain

Chain Retrieval Qa

#4

Vector Store Retriever

Retriever Vector Store

#5

OpenAI Chat Model

OpenAI

#6

When chat message received

Chat Trigger

#7

Schedule Trigger

Schedule Trigger

#8

Sticky Note

Sticky Note

#9

Limit

Limit

#10

Limit1

Limit

#11

Delete old embeddings if exist

Supabase

#12

Get page blocks

Notion

#13

Default Data Loader

Document Default Data Loader

#14

Sticky Note1

Sticky Note

#15

Input Reference

No Op

#16

Notion Trigger

Notion

#17

Get updated pages

Notion

#18

Sticky Note23

Sticky Note

#19

Sticky Note24

Sticky Note

#20

Sticky Note25

Sticky Note

#21

Sticky Note26

Sticky Note

#22

Sticky Note27

Sticky Note

#23

Sticky Note28

Sticky Note

#24

Supabase Vector Store1

Vector Store Supabase

#25

Sticky Note30

Sticky Note

#26

Sticky Note31

Sticky Note

#27

Supabase Vector Store

Vector Store Supabase

#28

Sticky Note32

Sticky Note

#29

Sticky Note29

Sticky Note

#30

Sticky Note33

Sticky Note

#31

Sticky Note34

Sticky Note

#32

Sticky Note35

Sticky Note

#33

Concatenate to single string

Summarize

#34