Build a Slack knowledge graph with Claude, Neo4j and Google Sheets

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1. Workflow Overview

Quick Overview This workflow ingests chat messages via a webhook or a 15 minute schedule, filters out low signal content, uses Anthropic Claude to extract entities and relationships, and stores the...

Best for

Internal Wiki automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.webhook, n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.code, n8n-nodes-base.filter, n8n-nodes-base.wait, @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 Oneclick AI Squad.

Original n8n.io source

1.1 Workflow description

Title: Build a Slack knowledge graph with Claude, Neo4j and Google Sheets
Workflow name: Build a Slack knowledge graph with Claude, Neo4j and Google Sheets

Quick Overview

This workflow ingests chat messages via a webhook or a 15-minute schedule, filters out low-signal content, uses Anthropic Claude to extract entities and relationships, and stores the resulting knowledge graph in Neo4j while appending an audit log row to Google Sheets.

How it works

Receives a chat message via an n8n webhook or runs every 15 minutes to process polled Slack data.
Normalizes the incoming payload into consistent fields like channel, sender, timestamp, and message text.
Uses a Python script to tag message signals (questions, decisions, action items) and filter out noise such as greetings, bots, and very short messages.
Sends each relevant message to Anthropic Claude to extract entities, relationships, a summary, message type, and importance.
Sends the extracted graph to Anthropic Claude again to add implicit relationships, weights, decision-chain metadata, and a thread category.
Merges both AI passes into a single nodes-and-edges knowledge graph, validates references and edge weights, and drops invalid graphs.
Upserts the graph into Neo4j via its transactional HTTP endpoint, appends an audit row to Google Sheets, and returns a JSON success response to the webhook caller.

Setup

Add an Anthropic API credential and select the Claude model used by the two AI steps.
Configure Neo4j access by replacing the Neo4j HTTP endpoint URL and setting up HTTP Basic Auth credentials for your Neo4j instance.
Configure Google Sheets OAuth2 credentials and replace the placeholder Google Sheet ID, sheet tab name/range (KnowledgeGraph), and any required API permissions.
If using the webhook ingest path, copy the production webhook URL from n8n and configure your Slack/app integration to POST message payloads to /chat-ingest with the expected fields (text, channel, sender, timestamps).

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 - Sticky Note - Overview

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

Block 2 - Sticky Note - Ingest

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

Block 3 - Sticky Note - AI

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

Block 4 - Sticky Note - Graph

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

Block 5 - Sticky Note - Persist

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

Block 6 - Webhook - Chat Message Ingest

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

Block 7 - Schedule - Poll Slack Every 15 min

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.2

Block 8 - Normalise Message Payload

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 9 - Python - Noise Filter & Signal Tagging

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

Block 10 - Filter - Keep Relevant Messages Only

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

Block 11 - Wait - API Rate Limit Buffer

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

Block 12 - AI - Entity & Relationship Extractor

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

Block 13 - AI - Relationship Enrichment & Weighting

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

Block 14 - JS - Merge & Structure Knowledge Graph

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

Block 15 - JS - Validate Graph Integrity

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

Block 16 - Filter - Valid Graphs Only

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

Block 17 - Neo4j - Upsert Nodes & Edges

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

Block 18 - Google Sheets - Append Audit Log Row

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

Block 19 - JS - Build Success Response

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

Block 20 - Webhook Response - 200 OK

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

Block 21 - Anthropic Claude - Entity Extractor Model

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

Block 22 - Anthropic Claude - Relationship Enricher Model

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

Block 23 - Wait For Data

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

3. Summary Table

Workflow	Build a Slack knowledge graph with Claude, Neo4j and Google Sheets
Complexity	advanced
Nodes	23
Categories	Internal Wiki, AI RAG
Author	Oneclick AI Squad
Published	10 Jun 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/16231/16231.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Internal Wiki workflows AI RAG workflows

Frequently asked questions

What does Build a Slack knowledge graph with Claude, Neo4j and Google Sheets do?

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 Internal Wiki, AI RAG use case.

Oneclick AI Squad

224 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.webhook n8n-nodes-base.scheduletrigger n8n-nodes-base.set n8n-nodes-base.code n8n-nodes-base.filter n8n-nodes-base.wait @n8n/n8n-nodes-langchain.agent

Complexity

advanced

Published 10 Jun 2026

Likes 0

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Install path: /data/workflows/16231/16231.json

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Build a Slack knowledge graph with Claude, Neo4j and Google Sheets

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Quick Overview

How it works

Setup

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note - Overview

Block 2 - Sticky Note - Ingest

Block 3 - Sticky Note - AI

Block 4 - Sticky Note - Graph

Block 5 - Sticky Note - Persist

Block 6 - Webhook - Chat Message Ingest

Block 7 - Schedule - Poll Slack Every 15 min

Block 8 - Normalise Message Payload

Block 9 - Python - Noise Filter & Signal Tagging

Block 10 - Filter - Keep Relevant Messages Only

Block 11 - Wait - API Rate Limit Buffer

Block 12 - AI - Entity & Relationship Extractor

Block 13 - AI - Relationship Enrichment & Weighting

Block 14 - JS - Merge & Structure Knowledge Graph

Block 15 - JS - Validate Graph Integrity

Block 16 - Filter - Valid Graphs Only

Block 17 - Neo4j - Upsert Nodes & Edges

Block 18 - Google Sheets - Append Audit Log Row

Block 19 - JS - Build Success Response

Block 20 - Webhook Response - 200 OK

Block 21 - Anthropic Claude - Entity Extractor Model

Block 22 - Anthropic Claude - Relationship Enricher Model

Block 23 - Wait For Data

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions