How do I import "Intelligent Web Query and Semantic Re-Ranking Flow" 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 "Intelligent Web Query and Semantic Re-Ranking Flow" use?

It uses: dateTime, webhook, outputParserAutofixing, outputParserStructured, respondToWebhook, chainLlm, httpRequest, lmChatAnthropic. The flow diagram above shows how each service connects across the 20 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 dateTime and webhook credentials in n8n after import.

What trigger type does "Intelligent Web Query and Semantic Re-Ranking Flow" 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 "Intelligent Web Query and Semantic Re-Ranking Flow" 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 dateTime, webhook, outputParserAutofixing, outputParserStructured, respondToWebhook, chainLlm, httpRequest, lmChatAnthropic.

← Workflows

Intelligent Web Query and Semantic Re-Ranking Flow

20 nodes · dateTime, webhook, outputParserAutofixing, outputParserStructured, respondToWebhook, chainLlm

Engine: n8n
Nodes: 20
Trigger: scheduled/triggered
Source file: 1510_Datetime_Code_Automation_Webhook.json

Workflow flow

IntegrationsDateTimeWebhookOutputParserAutofixingOutputParserStructuredRespondToWebhookChainLlmHTTPLmChatAnthropicLmChatOpenAiLmChatGoogleGemini@n8n/n8n-nodes-langchain.outputParserAutofixing@n8n/n8n-nodes-langchain.outputParserStructured+5 more

100%

TRIGGER

Webhook

Auto-fixing Output Parser6

@n8n/n8n-nodes-langchain.outputParserAutofixing

Auto-fixing Output Parser

@n8n/n8n-nodes-langchain.outputParserAutofixing

Structured Output Parser1

@n8n/n8n-nodes-langchain.outputParserStructured

Webhook Call

HTTP

Anthropic Chat Model

@n8n/n8n-nodes-langchain.lmChatAnthropic

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Structured Output Parser2

@n8n/n8n-nodes-langchain.outputParserStructured

Parser Model

@n8n/n8n-nodes-langchain.lmChatGoogleGemini

Agent Model

@n8n/n8n-nodes-langchain.lmChatGoogleGemini

Date & Time

DateTime

Semantic Search -Query Maker

@n8n/n8n-nodes-langchain.chainLlm

Query

HTTP

Query-1 Combined

Code

Semantic Search - Result Re-Ranker

@n8n/n8n-nodes-langchain.chainLlm

Respond to Webhook

RespondToWebhook

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

Browse by integration

dateTime webhook outputParserAutofixing outputParserStructured respondToWebhook chainLlm httpRequest lmChatAnthropic lmChatOpenAi lmChatGoogleGemini

Browse all integrations →

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

Intelligent Web Query and Semantic Re-Ranking Flow (20-node n8n automation, dateTime, webhook, outputParserAutofixing, outputParserStructured, respondToWebhook, chainLlm, httpRequest, lmChatAnthropic) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

This n8n workflow, "Intelligent Web Query and Semantic Re-Ranking Flow", wires together dateTime, webhook, outputParserAutofixing, outputParserStructured, respondToWebhook, chainLlm, httpRequest, lmChatAnthropic in 20 nodes. 20 nodes · dateTime, webhook, outputParserAutofixing, outputParserStructured, respondToWebhook, chainLlm A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

Import "Intelligent Web Query and Semantic Re-Ranking Flow" into n8n, reconnect credentials for dateTime, webhook, outputParserAutofixing, outputParserStructured, respondToWebhook, chainLlm, httpRequest, lmChatAnthropic, and run the same automation in your own workspace.
Use it as a starting template when wiring dateTime, webhook, outputParserAutofixing, outputParserStructured, respondToWebhook, chainLlm, httpRequest, lmChatAnthropic — adjust node parameters to your accounts and record IDs.
Study how data moves from dateTime to webhook before building your own variant.
Share it with your team as a documented reference for scheduled/triggered automations in the dateTime stack.

Example output

Imported into n8n, "Intelligent Web Query and Semantic Re-Ranking Flow" exposes 20 configured nodes. Trigger type: scheduled/triggered. Integrations: dateTime, webhook, outputParserAutofixing, outputParserStructured, respondToWebhook, chainLlm, httpRequest, lmChatAnthropic. Set your credentials on the dateTime 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

Ask Claude to turn the "Intelligent Web Query and Semantic Re-Ranking Flow" JSON into a plain-English runbook, node by node. It can flag where dateTime rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for dateTime, webhook, outputParserAutofixing, outputParserStructured, respondToWebhook, chainLlm, httpRequest, lmChatAnthropic. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Intelligent Web Query and Semantic Re-Ranking Flow" — extract dateTime IDs and secrets into environment variables without changing the 20-node structure.

Frequently asked questions

How do I import "Intelligent Web Query and Semantic Re-Ranking Flow" 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 "Intelligent Web Query and Semantic Re-Ranking Flow" use?: It uses: dateTime, webhook, outputParserAutofixing, outputParserStructured, respondToWebhook, chainLlm, httpRequest, lmChatAnthropic. The flow diagram above shows how each service connects across the 20 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 dateTime and webhook credentials in n8n after import.
What trigger type does "Intelligent Web Query and Semantic Re-Ranking Flow" 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 "Intelligent Web Query and Semantic Re-Ranking Flow" 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 dateTime, webhook, outputParserAutofixing, outputParserStructured, respondToWebhook, chainLlm, httpRequest, lmChatAnthropic.