Analyze sales calls with GPT-4, Supabase RAG, Slack and multi-CRM
Ready for 3.0What this workflow does
This AI workflow has 13 nodes and runs when an HTTP GET request hits its webhook URL. Along the way it connects OpenAI Chat Model, Pipedrive, Salesforce and Supabase Vector Store and 3 more.
How it runs
Trigger: When an HTTP GET request hits its webhook URL.
- Extracting Transcript (HTTP Request): calls an HTTP API
- Cleaned JSON Payload (Code): runs custom JavaScript code
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 4 tools (Supabase Vector Store, Get many deals in HubSpot, Get many deals in Pipedrive, Get many leads in Salesforce); memory: Simple Memory
- Send the Feedback (Slack): uses Slack
- Email the Feedback (Send Email): sends an email over SMTP
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (13)
- Webhook
n8n-nodes-base.webhook - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Pipedrive Tool
n8n-nodes-base.pipedriveTool - Salesforce Tool
n8n-nodes-base.salesforceTool - Supabase Vector Store
@n8n/n8n-nodes-langchain.vectorStoreSupabase - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Hubspot Tool
n8n-nodes-base.hubspotTool - Slack
n8n-nodes-base.slack - Send Email
n8n-nodes-base.emailSend
From the author
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