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Instagram FAQ DM Bot with Gemini RAG + Qdrant (Google Drive)

Instagram FAQ DM Bot with Gemini RAG + Qdrant (Google Drive)

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Instagram FAQ DM Bot with Gemini RAG + Qdrant (Google Drive)

Instagram FAQ DM Bot with Gemini RAG + Qdrant (Google Drive)

Regular price £73.99
Regular price £73.99 Sale price
SAVE Sold out

Instant Instagram FAQ Replies with Gemini RAG—Automatically Powered by Your Google Drive PDFs

This n8n workflow turns your Instagram Direct Messages into a context-aware FAQ assistant. It answers incoming Instagram messages using a Google Gemini RAG agent backed by Qdrant, while automatically indexing new PDF files from Google Drive and refreshing the Instagram access token on a schedule.

What this workflow does

  • Listens for Instagram DMs using an Instagram trigger, filtering out echoes and empty messages.
  • Generates grounded FAQ responses with a Google Gemini chat model, using chat memory and a Qdrant retriever to pull relevant context for the reply.
  • Sends the response back to the original sender as an Instagram DM.
  • Keeps Instagram authentication fresh by running a daily schedule to refresh the Instagram access token.
  • Automatically builds your knowledge base by watching a specific Google Drive folder for newly created files.
  • Indexes only supported documents (configured to allow PDF MIME types): downloads the PDF, processes it in batches, generates embeddings with Google Gemini, and inserts vectors into a Qdrant collection for retrieval.

Use cases

  • Answering common customer questions on Instagram using policies, pricing FAQs, or product documentation stored as PDFs in Google Drive.
  • Reducing support workload by providing consistent, context-grounded answers in DMs.
  • Keeping your FAQ knowledge up to date automatically as you add new PDF files to your Drive folder.

Technical details

  • Instagram Graph API (webhook trigger + scheduled access token refresh; configurable verify token)
  • Google Gemini for both chat responses and embeddings (PaLM)
  • Qdrant vector store (retriever for RAG; ensure the target collection exists and matches embedding dimensions)
  • Google Drive file ingestion (folder watch; download + PDF MIME filtering)
  • n8n nodes mentioned in the workflow: if, sticky note, Google Drive, Split in Batches, n8n-nodes-langchainagent, Schedule Trigger
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