Automate Email History Retrieval with OpenAI and Qdrant

This workflow automates the retrieval and analysis of Gmail history using OpenAI embeddings and stores them in a Qdrant vector database. It enables real-time email updates and facilitates a Retrieval-Augmented-Generation (RAG) agent to efficiently respond to user queries.

n8n
Antonio Rossi

39 workflows

Designed for support teams, sales operations, and developers, this workflow listens for new Gmail messages, processes email content, generates embeddings via OpenAI, and stores them in a Qdrant vector database. The RAG agent uses this data to provide conversational access to past emails, enhancing customer support and sales operations by enabling quick lookups and AI-powered summaries.

$14.99
Last updated October 3, 2026
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Tags

code
gmail
stickyNote
gmailTrigger
manualTrigger
splitInBatches
agent
chatTrigger
lmChatOpenAi
embeddingsOpenAi

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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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