Research topics using OpenRouter AI agents with Serper search and Jina AI reports — n8n 工作流

复杂度🔗 Webhook36 个节点 AI👁 2 次查看作者:Open Paws

概览

Who is this for

This workflow is designed for researchers, analysts, and knowledge workers who need to: Gather comprehensive information on complex topics from multiple web sources Get AI-synthesized insights rather than raw search results Ensure factual accuracy with built-in hallucination detection Automate research workflows that would otherwise take hours

It's ideal for animal advocacy researchers, campaign strategists investigating corporate practices, policy analysts tracking animal welf

使用的节点

AI AgentBasic LLM ChainStructured Output ParserOpenRouter Chat ModelThink Tool

工作流预览

🧰 The Agent’s Toolbox (Superpowers)
These nodes are the tools your agent can use — think of
Each tool gives the agent a specific ability, like sear
Research topics using AI agents with web sear
How it works
This workflow accepts a research query via webhook or a
It performs structured
🔐 Credentials Required
This workflow uses external tools that require credenti
- OpenRouter API
Used for LLM reasoning, report writing, and verificat
- Jina AI
Used for w
✍️ Writing Report Agent
This agent is responsible for transforming raw research
After the research tools return their findings, th
🔍 Verifying Report Agent
This agent acts as a quality control and fact-checking
Once the initial report is written, the Verifying Repor
* Reviews claims made in the draft repo
🧯 Fixing Hallucinations Agent
This agent is activated only when issues are detected d
If the Verifying Report Agent identifies hallucinations
modelmodelmodelmodeltooltoolmodelmodelmodelmodeltooltooltooltooltooltooltoolmodelparsertool
R
Read URL content in Jina…
Think1
OpenRouter Chat Model
Think Tool Analysis
R
Retry if Tools Not Used
R
Retry if Response Empty1
Auto Fallback3
S
Serper API 2
S
Semantic Scholar 2
L
LinkedinScraper 2
I
InstagramScraper 2
X
XPostScraper 2
X
XProfileScraper 2
Qwen3
Opus
S
Set Prompt
Searching For Information
Writing Report
T
Trigger research request…
T
Trigger research from an…
Structured Output Parser
I
If hallucinations present
S
Set Report
S
Set Output
Auto Fallback4
Auto Fallback5
Think Tool Analysis2
I
If Empty Output
I
If Empty Output1
Opus1
Sonnet
R
Respond to Webhook
I
If Source is Webhook
S
Set Report1
Verifying Report
Fixing Hallucinations
36 nodes42 edges

工作原理

  1. 1

    触发器

    工作流由 webhook 触发器启动。

  2. 2

    处理

    数据流经 36 个节点, connecting agent, chainllm, executeworkflowtrigger。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (36)

AI

AI Agent

n8n-nodes-langchain.agent

#1
BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#2
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#3
OP

OpenRouter Chat Model

n8n-nodes-langchain.lmChatOpenRouter

#4
TH

Think Tool

n8n-nodes-langchain.toolThink

#5

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例,依次点击 工作流 → 新建 → 从文件导入
  3. 3选择下载的 research-topics-using-openrouter-ai-agents-with-serper-search-and-jina-ai-reports 文件并点击导入。
  4. 4为每个服务节点配置 凭证(API 密钥、OAuth 等)。
  5. 5点击 测试工作流 验证一切正常,然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴:

{ "name": "Research topics using OpenRouter AI agents with Serper search and Jina AI reports", "nodes": [...], ...}

集成

agentchainllmexecuteworkflowtriggerhttprequesttoolifjinaaitoollmchatopenrouteroutputparserstructuredrespondtowebhooksettoolthinkwebhook

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点36
复杂度high
触发器webhook
查看次数2
分类AI

创建者

Open Paws

Open Paws

@openpaws

标签

agentchainllmexecuteworkflowtriggerhttprequesttoolifjinaaitoollmchatopenrouteroutputparserstructuredrespondtowebhookset

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