https://github.com/sushantdhumak/n8n_workflows

https://github.com/sushantdhumak/n8n_workflows

agentic-workflow chat chatmodel embeddings google-sheets n8n n8n-nodes n8n-workflow openai pinecone vector-database

Last synced: 29 days ago
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• Host: GitHub
• URL: https://github.com/sushantdhumak/n8n_workflows
• Owner: sushantdhumak
• Created: 2025-04-01T14:23:57.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2025-04-05T07:34:18.000Z (29 days ago)
• Last Synced: 2025-04-05T08:26:53.646Z (29 days ago)
• Topics: agentic-workflow, chat, chatmodel, embeddings, google-sheets, n8n, n8n-nodes, n8n-workflow, openai, pinecone, vector-database
• Homepage:
• Size: 751 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# n8n_Workflows

## 1. Inventory Agent

A simple `Inventory Agent` that retrieves or updates inventory data stored in a Google Sheet based on user input.

Nodes used: 

AI Agent, OpenAI Chat Model, Simple Memory, Get Inventory (Tools), Update Inventory (Tools)

![Inventory_Agent1](https://github.com/user-attachments/assets/2ebd7090-60f8-4026-aa2f-51b87a21281c)

![Inventory_Agent2](https://github.com/user-attachments/assets/d12d8900-c4fb-433b-8cd5-33309f94f164)

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## 2. Order Status via Email

A simple workflow that retrieves order data from a Google Sheet and automatically sends an email notification to the specified recipient, updating them on the order status.

Nodes used: 

Google Sheet (anyUpdate), OpenAI (to compose email), Gmail (send: message)

![image](https://github.com/user-attachments/assets/c13e6716-3e14-4902-b9f5-136de8da7dc6)

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## 3. RAG - Uploading PDF to Pinecode Vector Database

This workflow demonstrates how to implement a Retrieval-Augmented Generation (RAG) pipeline by downloading a PDF from Google Drive, chunking its content, generating embeddings, and storing them in a Pinecone vector database. This setup enables efficient retrieval of relevant information in response to user queries.

Nodes Used:

Google Drive (download: file), Pineconde Vector Store, OpenAI Embeddings, Default Data Loader, Recursive Character Text Splitter

![Uploading PDF to Pinecode Vector Database](https://github.com/user-attachments/assets/4d59ef5d-8bdc-4eaa-a412-0c612111b03d)

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## 4. RAG - AI Agent

An AI agent retrieves relevant information from the Pinecone vector database built in the prior workflow to answer user questions effectively. If the information is not availale in the database, it will make use of Wikipedia to answer the user's query

Nodes Used:

AI Agent, OpenAI Chat Model, Simple Memory, Pineconde Vector Store, OpenAI Embeddings, Wikipedia

![RAG - AI Agent](https://github.com/user-attachments/assets/cc034ea2-da02-43e2-91d7-e68e5b23a19a)

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