Create a Context-Aware Slack Assistant with Google Sheets, Pinecone & GPT-4o
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Created by
raRahul JoshiLast edited 115 days ago
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
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