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Create comprehensive research reports with Jina AI & Gemini 2.5 Flash

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Create comprehensive research reports with Jina AI & Gemini 2.5 Flash preview
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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Automated AI Research Assistant: From Query to Polished Report with Jina & Gemini Turn a single research question into a comprehensive, multi source report with proper citations. This workflow auto...

Best for

  • Content Creation automation workflows
  • AI RAG automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.jinaai, @n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.splitinbatches, n8n-nodes-base.code, n8n-nodes-base.wait, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.agent

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by AppStoneLab Technologies LLP.

Original n8n.io source

1.1 Workflow description

Title
Create comprehensive research reports with Jina AI & Gemini 2.5 Flash
Workflow name
Create comprehensive research reports with Jina AI & Gemini 2.5 Flash

Automated AI Research Assistant: From Query to Polished Report with Jina & Gemini

Turn a single research question into a comprehensive, multi-source report with proper citations. This workflow automates the entire research process by leveraging the web-crawling power of Jina AI and the advanced reasoning capabilities of Google's Gemini models. Simply input your query, and this AI-powered assembly line will search the web, scrape relevant sources, summarize the content, draft a structured research paper, and finally, evaluate and polish the report for accuracy and formatting.

โœจ Key Features

  • ๐Ÿ”Ž Dynamic Web Search: Kicks off by searching the web with Jina AI based on your initial query.
  • ๐Ÿ“š Multi-Source Content Scraping: Automatically reads and extracts content from the top 10 search results.
  • ๐Ÿง  AI-Powered Summarization: Uses a Gemini agent to intelligently summarize each webpage, retaining the core information.
  • โœ๏ธ Automated Report Generation: A specialized "Generator Agent" synthesizes the summarized data into a structured research paper, complete with an executive summary, introduction, discussion, and conclusion.
  • โœ… Citation & Quality Verification: A final "Evaluator Agent" meticulously checks the generated report for citation accuracy, logical flow, and markdown formatting, delivering a polished final document.
  • ๐Ÿ“ˆRate-Limit Ready: Includes a configurable Wait node to ensure stable execution when dealing with multiple API calls.

๐Ÿ“ What This Workflow Does

This workflow is designed to be your personal research assistant. It addresses the time-consuming process of gathering, reading, and synthesizing information from multiple online sources. Instead of spending hours manually searching, reading, and citing, you can delegate the entire task to this workflow and receive a well-structured and cited report as the final output. It's perfect for students, researchers, content creators, and analysts who need to quickly compile information on any given topic.

โš™๏ธ How It Works (Step-by-Step)

  1. Initiate with a Query: The workflow starts when you send your research question or topic to the Chat Trigger node.
  2. Search the Web: The user's query is passed to the Jina AI node, which performs a web search and returns the top 10 most relevant URLs.
  3. Scrape, Summarize, Repeat: The workflow then loops through each URL:
    • Read Content: The Jina AI node scrapes the full text content from the URL.
    • Summarize: A Summarizer Agent powered by Google Gemini reads the scraped content and the original user query, then generates a concise summary.
    • Wait: A one-second pause helps to avoid hitting API rate limits before processing the next URL.
  4. Aggregate the Knowledge: Once the loop is complete, a Code node gathers all 10 individual summaries into a single, neatly structured list.
  5. Draft the Research Report: This aggregated data is fed to the Generator Agent. Following a detailed prompt, this Gemini-powered agent writes a full research report, structuring it with headings and adding inline citations for every piece of information it uses.
  6. Evaluate and Finalize: The generated draft is passed to the final Evaluator Chain. This agent acts as a quality control supervisor. It verifies that all claims are correctly cited, refines the content for clarity and academic tone, and polishes the markdown formatting to produce the final, ready-to-use report.

๐Ÿš€ How to Use This Workflow

  1. Credentials: Click on Use template, then configure your credentials for the following nodes:
    • Jina AI: You will need a Jina AI API key for the Search web and Read URL content nodes. Get your key from here: JinaAI API Key
    • Google Gemini: You will need a Google Gemini API key for the Summarizer Model, Generator Model, and Evaluator Model nodes. Get your key from here: Gemini API Key
  2. Activate Workflow: Make sure the workflow is active in your n8n instance.
  3. Start Research: Send a chat message with your research topic to the webhook URL provided in the When chat message received node.
  4. Get Your Report: Check the output of the final node, Evaluator Chain, to find your completed and polished research report.

Nodes Used

  • Chat Trigger
  • Jina AI
  • Code (Python)
  • Split in Batches (Looping)
  • Wait
  • AI Agent
  • Basic LLM Chain
  • Google Gemini Chat Model

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Search web

Type / Role
n8n-nodes-base.jinaAi - jinaAi
Config choices
Version 1

Block 2 - When chat message received

Type / Role
@n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices
Version 1.1

Block 3 - Loop Over Items

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 4 - Code

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 5 - Read URL content

Type / Role
n8n-nodes-base.jinaAi - jinaAi
Config choices
Version 1

Block 6 - Wait

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 7 - Structured Output

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 8 - Transform

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 9 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 10 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 11 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note6

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Sticky Note7

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - Sticky Note8

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Sticky Note9

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 19 - Summarizer Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2

Block 20 - Summarizer Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 21 - Generator Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 22 - Generator Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2

Block 23 - Evaluator Chain

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.7

Block 24 - Evaluator Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Showing the first 24 of 25 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Create comprehensive research reports with Jina AI & Gemini 2.5 Flash
Complexity advanced
Nodes 25
Categories Content Creation, AI RAG
Author AppStoneLab Technologies LLP
Published 30 Jun 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/5463/5463.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Create comprehensive research reports with Jina AI & Gemini 2.5 Flash do?

Automated AI Research Assistant: From Query to Polished Report with Jina & Gemini Turn a single research question into a comprehensive, multi source report with proper citations. This workflow auto...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, AI RAG use case.