Build a Slack knowledge graph with Claude, Neo4j and Google Sheets
Needs changesWhat this workflow does
This AI workflow has 18 nodes and runs when an HTTP POST request hits its webhook URL (plus 1 other trigger). Along the way it connects Anthropic Chat Model. It also calls sheets.googleapis.com over HTTP.
How it runs
Trigger: When an HTTP POST request hits its webhook URL (plus 1 other trigger).
- Normalise Message Payload (Edit Fields (Set)): sets 9 fields: channelId, channelName, senderId…
- Python - Noise Filter & Signal Tagging (Code): runs custom Python code
- Filter: keeps only the items that match a condition
- Wait: pauses before continuing
- AI - Entity & Relationship Extractor (AI Agent): runs an AI agent, with model: Anthropic Claude - Entity Extractor Model
- AI - Relationship Enrichment & Weighting (AI Agent): runs an AI agent, with model: Anthropic Claude - Relationship Enricher Model
- JS - Merge & Structure Knowledge Graph (Code): runs custom JavaScript code
- Wait: waits 15 seconds
- JS - Validate Graph Integrity (Code): runs custom JavaScript code
- Filter: keeps only the items that match a condition
…plus 4 more steps. See the full node list below.
Services it uses
HTTP calls to: sheets.googleapis.com
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI - Entity & Relationship Extractor (v1.6), AI - Relationship Enrichment & Weighting (v1.6): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI - Entity & Relationship Extractor (v1.6), AI - Relationship Enrichment & Weighting (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (10)
- Webhook
n8n-nodes-base.webhook - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - Filter
n8n-nodes-base.filter - Wait
n8n-nodes-base.wait - AI Agent
@n8n/n8n-nodes-langchain.agent - HTTP Request
n8n-nodes-base.httpRequest - Respond to Webhook
n8n-nodes-base.respondToWebhook - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic
From the author
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…