Answer questions from a knowledge base: Google Sheets & Slack for q&a
Fires the moment a webhook arrives across Google Sheets, Slack and PostgreSQL, looks the answer up in a vector store, then hands the decision to an AI agent. Built for q&a, around a "Answer from Knowledge Base" step, in 22 documented nodes.
Answer questions from a knowledge base with HTTP / REST API for Q&A. An original, ready-to-import n8n workflow built around the 'RAG Pipeline' pattern for AI & automation. It fires on a webhook and orchestrates 22 nodes across Google Sheets, Slack, HTTP / REST API. 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. Your team sees the right data at the right time.
Key benefits
- ✓Keeps Google Sheets and Slack in step for q&a, without anyone re-typing a row
- ✓A failed Google Sheets or Slack call is retried rather than dropped, at any of the 22 nodes in this q&a build
- ✓Bad input stops the run for q&a instead of landing in Google Sheets
- ✓The q&a AI step is isolated from Google Sheets, so models swap without touching the other 22 nodes
- ✓Fans the same result out to PostgreSQL in the same run, for q&a
Use cases
- →Teams keeping Google Sheets and Slack aligned by hand for q&a
- →Answering q&a questions from your own indexed documents, then replying in Google Sheets
- →Q&a work that needs a judgement call per item before it reaches Google Sheets
- →Pushing q&a events into Google Sheets and Slack the moment they land, not on the next poll
Integrations
Workflow preview (22 nodes)
The template's actual node layout and connections. Node parameters and credential slots unlock with the download.
What's inside (22 nodes)
A look at the node types this workflow uses. No purchase required — full parameters and credentials are yours after you buy.
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
- 1Import. In n8n, open Workflows → menu → “Import from File” and pick the downloaded JSON.
- 2Connect. Add your own credentials on the app nodes - n8n highlights exactly which ones need them.
- 3Activate. Run it once to test, then toggle Active. The automation is live.
What you'll learn
Production levelProduction-grade: idempotency, dead-letter handling, and reconciliation included.
- •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 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 (Google Sheets, Slack, HTTP / REST API, PostgreSQL). 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.
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