Supabase insertion & upsertion & retrieval

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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. Setup steps: set your credentials for Supab...

Best for

Document Extraction automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.googledrive, @n8n/n8n-nodes-langchain.documentdefaultdataloader, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.chainretrievalqa, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.retrievervectorstore, @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter, n8n-nodes-base.set

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ria.

Original n8n.io source

1.1 Workflow description

Title: Supabase insertion & upsertion & retrieval
Workflow name: Supabase insertion & upsertion & retrieval

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.

Setup steps:

set your credentials for Supabase
set your credentials for an AI model of your choice
set credentials for any service you want to use to upload documents
please follow the guidelines in the workflow itself (Sticky Notes)

Feedback & Questions

If you have any questions or feedback about this workflow - Feel free to get in touch at [email protected]

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Google Drive

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 2 - Default Data Loader

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1

Block 3 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - Question and Answer Chain

Type / Role: @n8n/n8n-nodes-langchain.chainRetrievalQa - chainRetrievalQa
Config choices: Version 1.3

Block 8 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1

Block 9 - Vector Store Retriever

Type / Role: @n8n/n8n-nodes-langchain.retrieverVectorStore - retrieverVectorStore
Config choices: Version 1

Block 10 - Recursive Character Text Splitter1

Type / Role: @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - textSplitterRecursiveCharacterTextSplitter
Config choices: Version 1

Block 11 - Customize Response

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 12 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

Block 13 - Retrieve by Query

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreSupabase - vectorStoreSupabase
Config choices: Version 1

Block 14 - Embeddings OpenAI Retrieval

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1

Block 15 - Embeddings OpenAI Insertion

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1

Block 16 - Placeholder (File/Content to Upsert)

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 17 - Embeddings OpenAI Upserting

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1

Block 18 - Insert Documents

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreSupabase - vectorStoreSupabase
Config choices: Version 1

Block 19 - Retrieve Rows from Table

Type / Role: n8n-nodes-base.supabase - supabase
Config choices: Version 1

Block 20 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 21 - Update Documents

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreSupabase - vectorStoreSupabase
Config choices: Version 1

3. Summary Table

Workflow	Supabase insertion & upsertion & retrieval
Complexity	advanced
Nodes	21
Categories	Document Extraction, AI RAG
Author	Ria
Published	01 Sept 2024

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2395/2395.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows AI RAG workflows

Frequently asked questions

What does Supabase insertion & upsertion & retrieval do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI RAG use case.

Ria

4 workflows

Nodes

n8n-nodes-base.googledrive @n8n/n8n-nodes-langchain.documentdefaultdataloader n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.chainretrievalqa @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.retrievervectorstore @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter n8n-nodes-base.set

Complexity

advanced

Published 01 Sept 2024

Likes 0

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Install path: /data/workflows/2395/2395.json

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Supabase insertion & upsertion & retrieval

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Setup steps:

Feedback & Questions

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Google Drive

Block 2 - Default Data Loader

Block 3 - Sticky Note

Block 4 - Sticky Note1

Block 5 - Sticky Note2

Block 6 - Sticky Note3

Block 7 - Question and Answer Chain

Block 8 - OpenAI Chat Model

Block 9 - Vector Store Retriever

Block 10 - Recursive Character Text Splitter1

Block 11 - Customize Response

Block 12 - When chat message received

Block 13 - Retrieve by Query

Block 14 - Embeddings OpenAI Retrieval

Block 15 - Embeddings OpenAI Insertion

Block 16 - Placeholder (File/Content to Upsert)

Block 17 - Embeddings OpenAI Upserting

Block 18 - Insert Documents

Block 19 - Retrieve Rows from Table

Block 20 - Sticky Note4

Block 21 - Update Documents

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions