AI-Powered Autonomous Research Workflow

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      "parameters": {
        "text": "=User Query: {{ $('Chat Message Trigger').item.json.chatInput }}",
        "messages": {
          "messageValues": [
            {
              "message": "=You are an expert research assistant. Given a user's query, generate up to four distinct, precise search queries that would help gather comprehensive information on the topic. Return only a JSON list of strings, for example: ['query1', 'query2', 'query3']."
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const rawText = $json.text;

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try {
    const jsonArray = JSON.parse(cleanedText);
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    const chunkSize = Math.ceil(jsonArray.length / 4);
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    for (let i = 0; i < jsonArray.length; i += chunkSize) {
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    }
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} catch (error) {
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}
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      "parameters": {
        "url": "https://serpapi.com/search",
        "options": {},
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "q",
              "value": "={{ $('Parse and Chunk JSON Data').item.json.chunk }}"
            },
            {
              "name": "api_key",
              "value": "={{ $credentials.SerpAPI.key }}"
            },
            {
              "name": "engine",
              "value": "google"
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        }
      },
      "typeVersion": 4.2
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    {
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      "name": "Perform Jina AI Analysis Request",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      ],
      "parameters": {
        "url": "=https://r.jina.ai/{{ $json.url }}",
        "options": {},
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "iseKF5sPsvwtJhgT",
          "name": "Jina AI"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "e21bbdf6-a903-491e-920c-ef7576f9ce80",
      "name": "Format SerpAPI Organic Results",
      "type": "n8n-nodes-base.code",
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      ],
      "parameters": {
        "jsCode": "// Format the organic search results from SerpAPI
const results = $input.first().json.organic_results;
if (results.length === 0) {
  return [{ json: { error: 'No search results found.' } }];
}
const formattedResults = results.map(result => ({
  title: result.title || 'No title available',
  url: result.link || 'No link available',
  source: result.source || result.displayed_link || 'Unknown source'
}));
return formattedResults.map(result => ({ json: result }));
"
      },
      "typeVersion": 2
    },
    {
      "id": "a856c8e8-5c3c-4a2f-9086-66deee1afd06",
      "name": "Extract Relevant Context via LLM",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      "parameters": {
        "text": "=User Queries: {{ $('Parse and Chunk JSON Data').all().map(item => item.json.chunk[0]).join(', ') }}
Webpage Contents: 
\"\"\"
{{ $json.data }}
\"\"\"",
        "options": {
          "systemMessage": "=You are an expert information extractor. Given the user's query, the search query that led to this page, and the webpage content, extract all relevant pieces of information that are useful to answer the query. Return only the relevant context as plain text without any additional commentary."
        },
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      "name": "Generate Comprehensive Research Report",
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      "position": [
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      ],
      "parameters": {
        "text": "=Extracted Contexts (Merged):
\"\"\"
{{ $json.output }}
\"\"\"",
        "options": {
          "systemMessage": "You are an expert researcher and report writer. Based on the gathered contexts and the original user query, generate a comprehensive, well-structured report. Include all relevant insights and conclusions without unnecessary commentary.

Format the report in Markdown with clear headings. For example:

# Research Report: [User Query]

## Key Findings
- Point 1
- Point 2

## Detailed Analysis
### Aspect 1
Summary of findings.
_Source:_ [Source Name](URL)

### Aspect 2
Summary of findings.
_Source:_ [Another Source](URL)

Now, generate the complete report."
        },
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      "typeVersion": 3
    },
    {
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      "name": "Split Data for Jina AI Batching",
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      "parameters": {
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        "sessionIdType": "customKey",
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      "typeVersion": 1.3
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    {
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      "name": "Fetch Wikipedia Information",
      "type": "@n8n/n8n-nodes-langchain.toolWikipedia",
      "position": [
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      "parameters": {},
      "typeVersion": 1
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      "name": "Sticky Note: SerpAPI Setup",
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      "parameters": {
        "color": 7,
        "width": 420,
        "height": 140,
        "content": "## SerpAPI Setup Instructions
1. Obtain your API key from https://serpapi.com/manage-api-key.
2. Save your API key securely in n8n credentials (do not use plain text)."
      },
      "typeVersion": 1
    },
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        "width": 420,
        "height": 140,
        "content": "## Jina AI Setup Instructions
1. Obtain your API key from https://jina.ai/api-dashboard/key-manager.
2. Configure your Jina AI credential in n8n to ensure secure API access."
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        "content": "## OpenRouter API Setup Instructions
1. Obtain your API key from https://openrouter.ai/settings/keys.
2. Set up your OpenRouter credential in n8n for secure integration."
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            "node": "Generate Search Queries using LLM",
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            "index": 0
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            "type": "main",
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    "LLM Memory Buffer (Report Context)": {
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            "node": "Generate Comprehensive Research Report",
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            "node": "Generate Search Queries using LLM",
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