Handle LinkedIn inbox RAG replies with Unipile, Claude, Pinecone, and Airtable
Ready for 3.0What this workflow does
This AI workflow has 36 nodes and runs on Google Drive events (file created) (plus 2 other triggers). Along the way it connects Google Drive, Pinecone Vector Store, Airtable and Embeddings Google Gemini and 1 more.
How it runs
Trigger: On Google Drive events (file created) (plus 2 other triggers).
- Download File (Google Drive): download
- Config (Edit Fields (Set)): sets 1 field: autoSend
- Extract Payload (Edit Fields (Set)): sets 4 fields: record_id, chat_id, ai_draft…
- Pinecone Insert (Pinecone Vector Store): stores documents in the Pinecone vector store, with embeddings: Embeddings Google Gemini; document loader: Default Data Loader
- Extract & Normalize Fields (Edit Fields (Set)): sets 10 fields: event, feature, user_id…
- Valid Approved Payload? (If): checks a condition and branches into true / false
- Log to KB Log (Airtable): create
- Valid Inbound Message? (If): checks a condition and branches into true / false
- Send Approved Reply via Unipile (HTTP Request): calls an HTTP API (POST)
- Log Invalid Payload (Airtable): create
…plus 15 more steps. See the full node list below.
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 (16)
- Google Drive Trigger
n8n-nodes-base.googleDriveTrigger - Google Drive
n8n-nodes-base.googleDrive - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Token Splitter
@n8n/n8n-nodes-langchain.textSplitterTokenSplitter - Airtable
n8n-nodes-base.airtable - Embeddings Google Gemini
@n8n/n8n-nodes-langchain.embeddingsGoogleGemini - Webhook
n8n-nodes-base.webhook - Edit Fields (Set)
n8n-nodes-base.set - If
n8n-nodes-base.if - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
Quick overview Automatically ingest your knowledge base, monitor your LinkedIn company page inbox, and reply to leads and customers with AI-drafted, source-grounded answers. Classifies every message, checks for spam, drafts replies using Claude and Pinecone…