Skip to content
ExpertPremiumAI AgentsChat trigger24 nodes

Handle user questions 24/7 for Research Assistant in chat

Answers live in a chat window across Google Sheets and Slack, looks the answer up in a vector store, then hands the decision to an AI agent. Built for research assistant, around a "Keep Valid Requests" step, in 23 documented nodes.

Handle user questions 24/7 for Research Assistant. An original, ready-to-import n8n workflow built around the 'Chatbot Responder' pattern for AI & automation. It starts from a chat message and orchestrates 23 nodes using core n8n nodes. 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. Nothing slips through the cracks.

Key benefits

  • Keeps Google Sheets and Slack in step for research assistant, without anyone re-typing a row
  • Safe to re-run: records already in Google Sheets or Slack are skipped, across all 23 nodes of this research-assistant build
  • A failed Google Sheets or Slack call is retried rather than dropped, at any of the 23 nodes in this research-assistant build
  • The research-assistant AI step is isolated from Google Sheets, so models swap without touching the other 23 nodes
  • Research-assistant answers come from your indexed content, not model recall, before reaching Google Sheets

Use cases

  • Teams keeping Google Sheets and Slack aligned by hand for research assistant
  • Answering research-assistant questions from your own indexed documents, then replying in Google Sheets
  • Research assistant work that needs a judgement call per item before it reaches Google Sheets
  • Research-assistant conversations in Google Sheets you would rather not staff around the clock

Integrations

Google SheetsSlackAnthropic

Workflow preview (24 nodes)

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

When Chat Message Recei…Chat TriggerKeep Valid RequestsFilterAnswer from Knowledge B…AgentAnthropic Chat ModelLm Chat AnthropicKnowledge Base RetrieverVector Store In MemoryQuery EmbeddingsEmbeddings Open AiRerank Retrieved ChunksReranker CohereGrounded Answer Found?IfDeliver Answer via SlackSlackLog Knowledge GapGoogle SheetsFlag Gap to KB OwnersSlackLoad Previous SnapshotGoogle SheetsCompute Drift vs Snapsh…CodeFingerprint for Idempot…CodeDrop Already-Processed …Remove DuplicatesSerialize Run Output (C…Convert To FileArchive Row SnapshotGoogle SheetsSummarize Run StatsSetAppend Audit Row (Googl…Google SheetsSend Summary to SlackSlackCapture Failure ContextSetEscalate Failure to Sla…SlackPark in Dead-Letter Que…Google SheetsConversation MemoryMemory Buffer Window

What's inside (24 nodes)

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

AgentChat TriggerCodeConvert To FileEmbeddings Open AiFilterGoogle SheetsIfLm Chat AnthropicMemory Buffer WindowRemove DuplicatesReranker CohereSetSlackVector Store In Memory

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 In Memory

Conversation memory is attached, so the agent carries earlier turns of a session.

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

Production level

Production-grade: idempotency, dead-letter handling, and reconciliation included.

  • Handling a live chat trigger and keeping per-session conversation memory
  • Handling a live chat trigger and shaping each reply before it is sent
  • Grounding replies in retrieved context rather than model recall

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). 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.