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Advanced AI demo (presented at AI Developers #14 meetup)

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Advanced AI demo (presented at AI Developers #14 meetup) preview
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Important notice

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

1. Workflow Overview

This workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024. AI workflows 1. Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Tex...

Best for

  • Document Extraction automation workflows
  • AI RAG automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.slack, n8n-nodes-base.stickynote, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter, @n8n/n8n-nodes-langchain.embeddingsopenai, @n8n/n8n-nodes-langchain.documentdefaultdataloader, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.retrievervectorstore

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Max Tkacz.

Original n8n.io source

1.1 Workflow description

Title
Advanced AI demo (presented at AI Developers #14 meetup)
Workflow name
Advanced AI demo (presented at AI Developers #14 meetup)

This workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024.

AI workflows

  1. Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Text Classifier node, simplifying this usecase.
  2. Ingest a PDF into a Pinecone vector store and chat with it (RAG example)
  3. AI Agent example showcasing the HTTP Request tool. We teach the agent how to check availability on a Google Calendar and book an appointment.

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 - Send message

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.2

Block 2 - Sticky Note2

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

Block 3 - Sticky Note

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

Block 4 - Execute JavaScript

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

Block 5 - Sticky Note3

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

Block 6 - Recursive Character Text Splitter

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

Block 7 - Embeddings OpenAI

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

Block 8 - Default Data Loader

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

Block 9 - OpenAI Chat Model

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

Block 10 - Embeddings OpenAI2

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

Block 11 - Vector Store Retriever

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

Block 12 - Download PDF

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 13 - PDFs to download

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

Block 14 - Sticky Note4

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

Block 15 - Sticky Note5

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

Block 16 - Read Pinecone Vector Store

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

Block 17 - Question and Answer Chain

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

Block 18 - Sticky Note6

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

Block 19 - Sticky Note7

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

Block 20 - Anthropic Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
Config choices
Version 1.2

Block 21 - Get calendar availability

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

Block 22 - Appointment booking agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.6

Block 23 - Sticky Note1

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

Block 24 - Window Buffer Memory

Type / Role
@n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices
Version 1.2

Showing the first 24 of 39 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Advanced AI demo (presented at AI Developers #14 meetup)
Complexity advanced
Nodes 39
Categories Document Extraction, AI RAG
Author Max Tkacz
Published 25 Jul 2024

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/2358/2358.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 Advanced AI demo (presented at AI Developers #14 meetup) do?

This workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024. AI workflows 1. Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Tex...

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 Document Extraction, AI RAG use case.