RAG Starter Template using Simple Vector Stores, Form trigger and OpenAI

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Important notice

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

1. Workflow Overview

This template quickly shows how to use RAG in n8n. Who is this for? This template is for everyone who wants to start giving knowledge to their Agents through RAG. Requirements Have a PDF with custo...

Best for

Internal Wiki automation workflows
AI RAG automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, @n8n/n8n-nodes-langchain.embeddingsopenai, @n8n/n8n-nodes-langchain.documentdefaultdataloader, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.vectorstoreinmemory, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.lmchatopenai

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: RAG Starter Template using Simple Vector Stores, Form trigger and OpenAI
Workflow name: RAG Starter Template using Simple Vector Stores, Form trigger and OpenAI

This template quickly shows how to use RAG in n8n.

Who is this for?

This template is for everyone who wants to start giving knowledge to their Agents through RAG.

Requirements

Have a PDF with custom knowledge that you want to provide to your agent.

Setup

No setup required. Just hit Execute Workflow, upload your knowledge document and then start chatting.

How to customize this to your needs

Add custom instructions to your Agent by changing the prompts in it.
Add a different way to load in knowledge to your vector store, e.g. by looking at some Google Drive files or loading knowledge from a table.
Exchange the Simple Vector Store nodes with your own vector store tools ready for production.
Add a more sophisticated way to rank files found in the vector store.

For more information read our docs on RAG in n8n.

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 - Upload your file here

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.2

Block 2 - Embeddings OpenAI

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 3 - Default Data Loader

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

Block 4 - Sticky Note

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

Block 5 - Sticky Note1

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

Block 6 - Insert Data to Store

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreInMemory - vectorStoreInMemory
Config choices: Version 1.2

Block 7 - Query Data Tool

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreInMemory - vectorStoreInMemory
Config choices: Version 1.2

Block 8 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 9 - When chat message received

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

Block 10 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 11 - Sticky Note2

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

Block 12 - Sticky Note3

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

3. Summary Table

Workflow	RAG Starter Template using Simple Vector Stores, Form trigger and OpenAI
Complexity	intermediate
Nodes	12
Categories	Internal Wiki, AI RAG
Author	n8n Team
Published	17 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5010/5010.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 Internal Wiki workflows AI RAG workflows

Frequently asked questions

What does RAG Starter Template using Simple Vector Stores, Form trigger and OpenAI 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 Internal Wiki, AI RAG use case.

n8n Team

90 workflows

Nodes

n8n-nodes-base.formtrigger @n8n/n8n-nodes-langchain.embeddingsopenai @n8n/n8n-nodes-langchain.documentdefaultdataloader n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.vectorstoreinmemory @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.lmchatopenai

Complexity

intermediate

Published 17 Jun 2025

Likes 0

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Install path: /data/workflows/5010/5010.json

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RAG Starter Template using Simple Vector Stores, Form trigger and OpenAI

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Who is this for?

Requirements

Setup

How to customize this to your needs

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Upload your file here

Block 2 - Embeddings OpenAI

Block 3 - Default Data Loader

Block 4 - Sticky Note

Block 5 - Sticky Note1

Block 6 - Insert Data to Store

Block 7 - Query Data Tool

Block 8 - AI Agent

Block 9 - When chat message received

Block 10 - OpenAI Chat Model

Block 11 - Sticky Note2

Block 12 - Sticky Note3

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