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ExpertEnterpriseRAG / Knowledge BaseWebhook trigger32 nodes

Answer questions from a knowledge base with Notion & Slack

Fires the moment a webhook arrives across Notion, Slack 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 "Stamp & Shape Document" step, in 32 documented nodes.

Answer questions from a knowledge base with HTTP / REST API automatically. An original, ready-to-import n8n workflow built around the 'RAG Pipeline' pattern for AI & automation. It fires on a webhook and orchestrates 32 nodes across Notion, Slack, 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 Notion and Slack in step for document search, without anyone re-typing a row
  • Safe to re-run: records already in Notion or Slack are skipped, across all 32 nodes of this document-search build
  • A failed Notion or Slack call is retried rather than dropped, at any of the 32 nodes in this document-search build
  • Every document-search run leaves an audit row behind, alongside Notion
  • The document-search AI step is isolated from Notion, so models swap without touching the other 32 nodes

Use cases

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

Integrations

NotionSlackGoogle SheetsHTTP / REST APIPostgreSQLGroq

Workflow preview (32 nodes)

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

Receive Inbound WebhookWebhookStamp & Shape DocumentSetPayload Valid?IfRecord Rejected InputNotionAnswer from Knowledge B…AgentGroq Chat ModelLm Chat GroqKnowledge Base RetrieverVector Store PGVectorQuery EmbeddingsEmbeddings Open AiRerank Retrieved ChunksReranker CohereGrounded Answer Found?IfReturn Answer (HTTP 200)Respond To WebhookLog Knowledge GapGoogle SheetsFlag Gap to KB OwnersSlackLoad Previous SnapshotGoogle SheetsCompute Drift vs Snapsh…CodeStamp Completion TimeDate TimePersist Run MetadataExecution DataEnrich with Reference D…Http RequestFold In Enrichment Fiel…SetOffload to Post-Process…Execute WorkflowRecord Sub-workflow Res…Execution DataSerialize Run Output (C…Convert To FileArchive Row SnapshotNotionFingerprint for Idempot…CodeDrop Already-Processed …Remove DuplicatesAlign Field NamesRename KeysSummarize Run StatsSetAppend Audit Row (Notio…NotionSend Summary to SlackSlackCapture Failure ContextSetEscalate Failure to Sla…SlackPark in Dead-Letter Que…Notion

What's inside (32 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 RequestIfLm Chat GroqNotionRemove DuplicatesRename KeysReranker CohereRespond To WebhookSetSlackVector Store PGVectorWebhook

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 PGVector

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 Notion, Google Sheets and Slack 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 (Notion, Slack, 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.