Handle LinkedIn inbox RAG replies with Unipile, Claude, Pinecone, and Airtable
AirtableCCodeDDefault Data Loader
Embeddings Google Gemini
Google Drive
HTTP Request
OpenRouter Chat Model
Pinecone Vector StoreSSimple Memory
Structured Output Parser
Token SplitterQuick 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 RAG, and lets you auto-send or review each reply in Airtable. How it works A Google Drive trigger watches a folder for new or updated documents, downloading each file automatically as it's added. Each document is split into chunks, embedded, and upserted into a Pinecone vector index, building a searchable company knowledge base. A webhook receives every new LinkedIn message sent to your company page via Unipile, filtering out messages you sent yourself. The last few messages in the conversation are fetched and formatted into a chronological transcript for context. An AI agent classifies the message's intent (lead, support, partnership, recruiting, spam, or other) using shared conversation memory. A second AI agent drafts a reply, searching the Pinecone knowledge base for relevant facts before answering, and saves the draft to Airtable.
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AirtableCCodeDDefault Data LoaderEmbeddings Google GeminiGoogle DriveRelated workflows
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