How do I import "Insert and retrieve documents" into n8n?

Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.

Which integrations does "Insert and retrieve documents" use?

It uses: manual, httpRequest, html, splitOut, limit, textSplitterRecursiveCharacterTextSplitter, informationExtractor, embeddingsOpenAi. The flow diagram above shows how each service connects across the 25 nodes. Filter OpenRuna by integration to find related workflows and tools.

Can I import a sanitized export without credentials?

Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own manual and httpRequest credentials in n8n after import.

What trigger type does "Insert and retrieve documents" use?

Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.

Is "Insert and retrieve documents" free to use?

OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for manual, httpRequest, html, splitOut, limit, textSplitterRecursiveCharacterTextSplitter, informationExtractor, embeddingsOpenAi.

← Workflows

Insert and retrieve documents

25 nodes · manual, httpRequest, html, splitOut, limit, textSplitterRecursiveCharacterTextSplitter

Engine: n8n
Nodes: 25
Trigger: scheduled/triggered
Source file: 1495_Splitout_Limit_Import_Webhook.json

Workflow flow

IntegrationsManualHTTPHtmlSplit OutLimitTextSplitterRecursiveCharacterTextSplitterInformationExtractorEmbeddingsOpenAiChatVectorStoreMilvusDocumentDefaultDataLoaderLmChatOpenAi+9 more

100%

TRIGGER

When clicking "Execute Workflow"

Manual

Recursive Character Text Splitter1

@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter

Generate response

Set

Compose citations

Set

Answer the query based on chunks

@n8n/n8n-nodes-langchain.informationExtractor

Prepare chunks

Code

Set max chunks to send to model

Set

Embeddings OpenAI2

@n8n/n8n-nodes-langchain.embeddingsOpenAi

TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.chat

Milvus Vector Store in retrieval

@n8n/n8n-nodes-langchain.vectorStoreMilvus

Embeddings OpenAI

@n8n/n8n-nodes-langchain.embeddingsOpenAi

Default Data Loader

@n8n/n8n-nodes-langchain.documentDefaultDataLoader

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Fetch Essay List

HTTP

Extract essay names

Html

Split out into items

Split Out

Limit to first 3

Limit

Fetch essay texts

HTTP

Extract Text Only

Html

Milvus Vector Store

@n8n/n8n-nodes-langchain.vectorStoreMilvus

20 steps · flows top to bottom, branches left to right

Browse by integration

manual httpRequest html splitOut limit textSplitterRecursiveCharacterTextSplitter informationExtractor embeddingsOpenAi chat vectorStoreMilvus documentDefaultDataLoader lmChatOpenAi

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Download n8n JSON Download sanitized JSON Download flow graph

Import into n8n

Download the n8n JSON file (full or sanitized).
In n8n: Workflows → Import from file.
Open each node and reconnect credentials to your accounts.
Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Insert and retrieve documents is a free n8n workflow on OpenRuna — 25 nodes connecting manual, httpRequest, html, splitOut, limit, textSplitterRecursiveCharacterTextSplitter, informationExtractor, embeddingsOpenAi. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"Insert and retrieve documents" automates a manual-to-httpRequest flow in n8n across 25 nodes. 25 nodes · manual, httpRequest, html, splitOut, limit, textSplitterRecursiveCharacterTextSplitter Execution begins at the scheduled/triggered trigger and flows through the 25 configured nodes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

Share it with your team as a documented reference for scheduled/triggered automations in the manual stack.
Study how data moves from manual to httpRequest before building your own variant.
Use it as a starting template when wiring manual, httpRequest, html, splitOut, limit, textSplitterRecursiveCharacterTextSplitter, informationExtractor, embeddingsOpenAi — adjust node parameters to your accounts and record IDs.
Import "Insert and retrieve documents" into n8n, reconnect credentials for manual, httpRequest, html, splitOut, limit, textSplitterRecursiveCharacterTextSplitter, informationExtractor, embeddingsOpenAi, and run the same automation in your own workspace.

Example output

Imported into n8n, "Insert and retrieve documents" exposes 25 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, httpRequest, html, splitOut, limit, textSplitterRecursiveCharacterTextSplitter, informationExtractor, embeddingsOpenAi. Set your credentials on the manual node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "Insert and retrieve documents" into Claude and ask it to explain each of the 25 nodes. Claude is good at suggesting credential mappings for manual, httpRequest, html, splitOut, limit, textSplitterRecursiveCharacterTextSplitter, informationExtractor, embeddingsOpenAi, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Insert and retrieve documents" to your accounts — which manual, httpRequest, html, splitOut, limit, textSplitterRecursiveCharacterTextSplitter, informationExtractor, embeddingsOpenAi credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 25 nodes.

Frequently asked questions

How do I import "Insert and retrieve documents" into n8n?: Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "Insert and retrieve documents" use?: It uses: manual, httpRequest, html, splitOut, limit, textSplitterRecursiveCharacterTextSplitter, informationExtractor, embeddingsOpenAi. The flow diagram above shows how each service connects across the 25 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?: Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own manual and httpRequest credentials in n8n after import.
What trigger type does "Insert and retrieve documents" use?: Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "Insert and retrieve documents" free to use?: OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for manual, httpRequest, html, splitOut, limit, textSplitterRecursiveCharacterTextSplitter, informationExtractor, embeddingsOpenAi.