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ExpertEnterpriseRAG / Knowledge BaseWebhook trigger31 nodes

Retrieve questions from a knowledge base with Slack & Notion

Fires the moment a webhook arrives across Slack, Notion and Google Sheets, looks the answer up in a vector store, then hands the decision to an AI agent. Built for document search, around a "Normalize Document Payload" step, in 31 documented nodes.

Retrieve questions from a knowledge base with HTTP / REST API at scale for Document Search. An original, ready-to-import n8n workflow built around the 'RAG Pipeline' pattern for AI & automation. It fires on a webhook and orchestrates 31 nodes across Slack, Notion, Google Sheets. It uses n8n's LangChain AI nodes (Agent/Chain + chat model). Retry-on-fail is enabled on external calls. Import the JSON, add your credentials, and adapt the parameters. The result is a hands-off process that just works.

Key benefits

  • Keeps Slack and Notion in step for document search, without anyone re-typing a row
  • Safe to re-run: records already in Slack or Notion are skipped, across all 31 nodes of this document-search build
  • A failed Slack or Notion call is retried rather than dropped, at any of the 31 nodes in this document-search build
  • Every document-search run leaves an audit row behind, alongside Slack
  • The document-search AI step is isolated from Slack, so models swap without touching the other 31 nodes

Use cases

  • Teams keeping Slack and Notion aligned by hand for document search
  • Answering document-search questions from your own indexed documents, then replying in Slack
  • Document search work that needs a judgement call per item before it reaches Slack
  • Pushing document-search events into Slack and Notion the moment they land, not on the next poll

Integrations

SlackNotionGoogle SheetsHTTP / REST APIOpenAI

Workflow preview (31 nodes)

The template's actual node layout and connections. Node parameters and credential slots unlock with the download.

Receive Inbound WebhookWebhookNormalize Document Payl…CodeAnswer from Knowledge B…AgentOpenAI Chat ModelLm Chat Open AiKnowledge Base RetrieverVector Store SupabaseQuery EmbeddingsEmbeddings Open AiRerank Retrieved ChunksReranker CohereGrounded Answer Found?IfReturn Answer (HTTP 200)Respond To WebhookLog Knowledge GapGoogle SheetsFlag Gap to KB OwnersSlackFingerprint for Idempot…CodeDrop Already-Processed …Remove DuplicatesEnrich with Reference D…Http RequestFold In Enrichment Fiel…SetStamp Completion TimeDate TimePersist Run MetadataExecution DataLoad Previous SnapshotNotionCompute Drift vs Snapsh…CodeSerialize Run Output (C…Convert To FileArchive Row SnapshotNotionOffload to Post-Process…Execute WorkflowRecord Sub-workflow Res…Execution DataTag Pipeline MetadataSetCap Batch VolumeLimitSummarize Run StatsSetAppend Audit Row (Googl…Google SheetsSend Summary to SlackSlackCapture Failure ContextSetEscalate Failure to Sla…SlackPark in Dead-Letter Que…Notion

What's inside (31 nodes)

A look at the node types this workflow uses. No purchase required — full parameters and credentials are yours after you buy.

AgentCodeConvert To FileDate TimeEmbeddings Open AiExecute WorkflowExecution DataGoogle SheetsHttp RequestIfLimitLm Chat Open AiNotionRemove DuplicatesReranker CohereRespond To WebhookSetSlackVector Store SupabaseWebhook

Agent tools included (1)

An AI Agent is only as capable as the tools wired into it. These are read from the template's own graph — every one is a real node in the file you download.

  • Knowledge Base Retriever · Vector Store Supabase

This agent runs without conversation memory - each run starts from the incoming request.

From download to running in 3 steps

  1. 1
    Import. In n8n, open Workflows → menu → “Import from File” and pick the downloaded JSON.
  2. 2
    Connect. Add your own credentials on the app nodes - n8n highlights exactly which ones need them.
  3. 3
    Activate. Run it once to test, then toggle Active. The automation is live.

What you'll learn

Architect level

The deepest tier - sub-workflow delegation, state snapshots, and full observability.

  • Embedding content and querying it back out of a vector store
  • Re-ranking retrieved passages before they reach the model
  • Moving data between Google Sheets, Slack and Notion in a single run

Every node carries its own documentation on the canvas, plus notes explaining why the architecture was built this way, a credential setup guide, troubleshooting, and three practice exercises. Sample data comes pinned to the trigger, so you can hit Execute and watch data flow before connecting a single account.

Common questions

What exactly do I get?

The complete, ready-to-import n8n workflow as a JSON file, delivered instantly after payment. Import it into your own n8n (cloud or self-hosted), add your credentials, and it runs.

How do I import it into n8n?

In n8n, open Workflows, click the three-dot menu, choose “Import from File”, and select the downloaded JSON. Then connect your own app credentials on the highlighted nodes.

Do I need anything else for it to work?

You need your own n8n instance and accounts/credentials for the apps this workflow connects to (Slack, Notion, Google Sheets, HTTP / REST API). No coding is required.

What if it doesn't work for me?

If the file is faulty, won't import, or isn't as described, contact us within 7 days and we'll fix it or refund you - see our refund policy.

Can I modify or resell it?

You can freely adapt and use it in your own or your clients' projects. Reselling or redistributing the template file itself is not permitted.

Original n8n workflow template created and owned by WorkflowCrate. After purchase you receive the ready-to-import JSON file and a license to use and adapt it in your own projects.