Create a context-aware Slack assistant with Google Sheets, Pinecone & GPT-4o

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Best for

Internal Wiki automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.slacktrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatazureopenai, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorstorepinecone, @n8n/n8n-nodes-langchain.embeddingsazureopenai, n8n-nodes-base.googlesheetstool, @n8n/n8n-nodes-langchain.rerankercohere

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.

Original n8n.io source

1.1 Workflow description

Title: Create a context-aware Slack assistant with Google Sheets, Pinecone & GPT-4o
Workflow name: Create a context-aware Slack assistant with Google Sheets, Pinecone & GPT-4o

This advanced n8n automation template empowers your Slack bot to act as an intelligent assistant: when a user asks a question or requests a suggestion (by mentioning the bot), it automatically retrieves the user’s historical data and previous interactions from both Google Sheets and Pinecone. Using GPT-4o, the bot analyzes past updates, status reports, and context to generate a personalized, context-aware response—directly in Slack. Perfect for teams seeking instant, data-driven support, this workflow transforms your Slack bot into a smart knowledge assistant that references your own organizational history to provide relevant answers and suggestions.

What This Template Does (Step-by-Step)

Slack Bot Mention Trigger

Listens for message or app_mention events where a user asks a question or requests a suggestion.
Captures the message body and user ID.

User Profile & Data Fetch

Uses the Slack API to retrieve the user’s profile.
Queries Google Sheets and Pinecone to collect the user’s historical updates and interactions.

Contextual AI Lookup

GPT-4o reviews the user’s past status reports, messages, and activity.
Synthesizes a contextually relevant answer or suggestion based on prior data.

Personalized Response Generation

The bot replies in Slack with a tailored answer, referencing the user’s previous updates and current context.

Auto-Fix & Schema Validation

Ensures the generated response is well-structured and matches your organization’s data schema.

Document Update (Optional)

Optionally logs the new interaction or suggestion back to Pinecone for future reference.

Required Integrations

Slack Bot with channels:history, app_mentions:read, and users.profile:read
Google Sheets OAuth2 (for lead or user status records)
Pinecone Vector Store (for storing user status documents)
Azure OpenAI or OpenAI GPT-4o (for document generation and merging)
Cohere API (optional) for reranking relevance in vector search

Ideal For

Remote teams running async daily standups
People ops tracking onboarding or churn signals
Founders building internal GPT-powered tools
Managers consolidating Slack-based updates across teams
Teams wanting a Slack bot that provides personalized answers and suggestions based on past activity
Managers and team members seeking quick, AI-powered support and insights from their own work history
Organizations aiming to leverage internal data for smarter, context-aware assistance in Slack

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Slack Trigger

Type / Role: n8n-nodes-base.slackTrigger - slackTrigger
Config choices: Version 1

Block 2 - AI Agent1

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 3 - Azure OpenAI Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatAzureOpenAi - lmChatAzureOpenAi
Config choices: Version 1

Block 4 - Get a user's profile

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.3

Block 5 - Pinecone Vector Store2

Type / Role: @n8n/n8n-nodes-langchain.vectorStorePinecone - vectorStorePinecone
Config choices: Version 1.3

Block 6 - Embeddings Azure OpenAI2

Type / Role: @n8n/n8n-nodes-langchain.embeddingsAzureOpenAi - embeddingsAzureOpenAi
Config choices: Version 1

Block 7 - Get row(s) in sheet in Google Sheets

Type / Role: n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices: Version 4.6

Block 8 - Pinecone Vector Store3

Type / Role: @n8n/n8n-nodes-langchain.vectorStorePinecone - vectorStorePinecone
Config choices: Version 1.3

Block 9 - Embeddings Azure OpenAI3

Type / Role: @n8n/n8n-nodes-langchain.embeddingsAzureOpenAi - embeddingsAzureOpenAi
Config choices: Version 1

Block 10 - Reranker Cohere1

Type / Role: @n8n/n8n-nodes-langchain.rerankerCohere - rerankerCohere
Config choices: Version 1

Block 11 - Structured Output Parser1

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 12 - Pinecone Vector Store5

Type / Role: @n8n/n8n-nodes-langchain.vectorStorePinecone - vectorStorePinecone
Config choices: Version 1.3

Block 13 - Embeddings Azure OpenAI5

Type / Role: @n8n/n8n-nodes-langchain.embeddingsAzureOpenAi - embeddingsAzureOpenAi
Config choices: Version 1

Block 14 - Reranker Cohere3

Type / Role: @n8n/n8n-nodes-langchain.rerankerCohere - rerankerCohere
Config choices: Version 1

Block 15 - AI Agent3

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 16 - Azure OpenAI Chat Model3

Type / Role: @n8n/n8n-nodes-langchain.lmChatAzureOpenAi - lmChatAzureOpenAi
Config choices: Version 1

Block 17 - Auto-fixing Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserAutofixing - outputParserAutofixing
Config choices: Version 1

Block 18 - Structured Output Parser2

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 19 - Edit Fields1

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 20 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 21 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 22 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 23 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 24 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Create a context-aware Slack assistant with Google Sheets, Pinecone & GPT-4o
Complexity	advanced
Nodes	24
Categories	Internal Wiki, AI RAG
Author	Rahul Joshi
Published	15 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6020/6020.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Internal Wiki workflows AI RAG workflows

Frequently asked questions

What does Create a context-aware Slack assistant with Google Sheets, Pinecone & GPT-4o do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Internal Wiki, AI RAG use case.

Rahul Joshi

269 workflows

Nodes

n8n-nodes-base.slacktrigger @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatazureopenai n8n-nodes-base.slack @n8n/n8n-nodes-langchain.vectorstorepinecone @n8n/n8n-nodes-langchain.embeddingsazureopenai n8n-nodes-base.googlesheetstool @n8n/n8n-nodes-langchain.rerankercohere

Complexity

advanced

Published 15 Jul 2025

Likes 0

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Install path: /data/workflows/6020/6020.json

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Create a context-aware Slack assistant with Google Sheets, Pinecone & GPT-4o

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Slack Trigger

Block 2 - AI Agent1

Block 3 - Azure OpenAI Chat Model1

Block 4 - Get a user's profile

Block 5 - Pinecone Vector Store2

Block 6 - Embeddings Azure OpenAI2

Block 7 - Get row(s) in sheet in Google Sheets

Block 8 - Pinecone Vector Store3

Block 9 - Embeddings Azure OpenAI3

Block 10 - Reranker Cohere1

Block 11 - Structured Output Parser1

Block 12 - Pinecone Vector Store5

Block 13 - Embeddings Azure OpenAI5

Block 14 - Reranker Cohere3

Block 15 - AI Agent3

Block 16 - Azure OpenAI Chat Model3

Block 17 - Auto-fixing Output Parser

Block 18 - Structured Output Parser2

Block 19 - Edit Fields1

Block 20 - Sticky Note

Block 21 - Sticky Note2

Block 22 - Sticky Note3

Block 23 - Sticky Note4

Block 24 - Sticky Note5

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions