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๐Ÿ”๐Ÿ› ๏ธ Tavily Search & Extract - Template

17 nodes ยท httpRequest, lmChatOpenAi, chainLlm, chat

Engine
n8n
Nodes
17
Trigger
scheduled/triggered
Source file
1617_HTTP_Stickynote_Automation_Webhook.json

Workflow flow

IntegrationsHTTPLmChatOpenAiChainLlmChatSet@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.chainLlm@n8n/n8n-nodes-langchain.chat
100%

Tavily Search

HTTP

Tavily Extract

HTTP

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

TRIGGER

Provide search topic via Chat window

@n8n/n8n-nodes-langchain.chat

Tavily API Key

Set

Tavily Search Topic

HTTP

Filter > 90%

Set

Get Top Result

Set

Tavily Extract Top Search

HTTP

Summarize Web Page Content

@n8n/n8n-nodes-langchain.chainLlm

10 steps ยท flows top to bottom, branches left to right

Browse by integration

Browse all integrations โ†’

Import into n8n

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

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

View source corpus โ†—

Overview

Free n8n workflow: ๐Ÿ”๐Ÿ› ๏ธ Tavily Search & Extract - Template. 17 nodes across httpRequest, lmChatOpenAi, chainLlm, chat, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

"๐Ÿ”๐Ÿ› ๏ธ Tavily Search & Extract - Template" automates a httpRequest-to-lmChatOpenAi flow in n8n across 17 nodes. 17 nodes ยท httpRequest, lmChatOpenAi, chainLlm, chat It starts from a scheduled/triggered trigger and routes data through every node in order. 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

  • Share it with your team as a documented reference for scheduled/triggered automations in the httpRequest stack.
  • Study how data moves from httpRequest to lmChatOpenAi before building your own variant.
  • Use it as a starting template when wiring httpRequest, lmChatOpenAi, chainLlm, chat โ€” adjust node parameters to your accounts and record IDs.
  • Import "๐Ÿ”๐Ÿ› ๏ธ Tavily Search & Extract - Template" into n8n, reconnect credentials for httpRequest, lmChatOpenAi, chainLlm, chat, and run the same automation in your own workspace.

Example output

Imported into n8n, "๐Ÿ”๐Ÿ› ๏ธ Tavily Search & Extract - Template" exposes 17 configured nodes. Trigger type: scheduled/triggered. Integrations: httpRequest, lmChatOpenAi, chainLlm, chat. Set your credentials on the httpRequest 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 "๐Ÿ”๐Ÿ› ๏ธ Tavily Search & Extract - Template" into Claude and ask it to explain each of the 17 nodes. Claude is good at suggesting credential mappings for httpRequest, lmChatOpenAi, chainLlm, chat, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "๐Ÿ”๐Ÿ› ๏ธ Tavily Search & Extract - Template" to your accounts โ€” which httpRequest, lmChatOpenAi, chainLlm, chat 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 17 nodes.

Frequently asked questions

How do I import "๐Ÿ”๐Ÿ› ๏ธ Tavily Search & Extract - Template" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows โ†’ Import from file and select the downloaded file. Reconnect credentials on each node โ€” the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "๐Ÿ”๐Ÿ› ๏ธ Tavily Search & Extract - Template" use?
It uses: httpRequest, lmChatOpenAi, chainLlm, chat. The flow diagram above shows how each service connects across the 17 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 httpRequest and lmChatOpenAi credentials in n8n after import.
What trigger type does "๐Ÿ”๐Ÿ› ๏ธ Tavily Search & Extract - Template" 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 "๐Ÿ”๐Ÿ› ๏ธ Tavily Search & Extract - Template" 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 httpRequest, lmChatOpenAi, chainLlm, chat.

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