Retrieve indexed documents with Slack & Google Sheets
Fires the moment a webhook arrives across Slack, Google Sheets 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 14 documented nodes.
Retrieve indexed documents with Slack 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 14 nodes across Slack, Google Sheets, PostgreSQL. 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 Google Sheets in step for q&a, without anyone re-typing a row
- ✓A failed Slack or Google Sheets call is retried rather than dropped, at any of the 14 nodes in this q&a build
- ✓The q&a AI step is isolated from Slack, so models swap without touching the other 14 nodes
- ✓Fans the same result out to PostgreSQL in the same run, for q&a
- ✓Q&a answers come from your indexed content, not model recall, before reaching Slack
Use cases
- →Teams keeping Slack and Google Sheets aligned by hand for q&a
- →Answering q&a questions from your own indexed documents, then replying in Slack
- →Q&a work that needs a judgement call per item before it reaches Slack
- →Pushing q&a events into Slack and Google Sheets the moment they land, not on the next poll
Integrations
Workflow preview (14 nodes)
The template's actual node layout and connections. Node parameters and credential slots unlock with the download.
What's inside (14 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
Core levelA compact production shape: validation and error handling without extra machinery.
- •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 (Slack, Google Sheets, 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.
Related templates
Query indexed documents: Google Sheets for q&a, webhook
Q&a on n8n: runs when a webhook arrives across Google Sheets, Slack and PostgreSQL, starting at "List Changed Docs (API)". Looks the answer up in a vector store. 23 documented nodes.
Digest long emails for q&a
Q&a on n8n: runs when a webhook arrives across Google Sheets, PostgreSQL, Gmail and Slack, starting at "Collect Raw Text". Pulls structured fields out of free text. 22 documented nodes.
Distill meeting notes: Slack for q&a, webhook
Q&a on n8n: runs when a webhook arrives across Slack, Google Sheets and PostgreSQL, starting at "Normalize Document Payload". Hands the decision to an AI agent with its own tools. 22 documented nodes.
Distill long emails: Notion for q&a
Q&a on n8n: runs when a webhook arrives across Notion, PostgreSQL, Slack, Google Sheets and Twilio, starting at "Stamp & Shape Document". 31 documented nodes.